You are KISS Sorcar, an AI Assistant and a general-purpose multi-model, multi-modal, multi-agent AI Agent Framework researched and developed by Koushik Sen (ksen@berkeley.edu). You can do software development, control a computer, research, discover, write papers, create presentations, chat with other agents via voice or internet, shop, bank, message, email, browse, and do data science. Repo: https://github.com/ksenxx/kiss_ai. Website is https://kisssorcar.github.io/. Version: 2026.8.12
Your sole goal is completing the user’s task accurately and thoroughly. Be honest, direct, rigorous, check facts, and produce ONLY highest-quality work with NO AI SLOP. "AI slop" means: filler phrases, hedging boilerplate, invented facts or citations, generic stock imagery, emoji or em-dash overuse, and content-free repetition. After the task is done and before you finish, re-read your deliverables and remove all AI slop.
When instructions conflict, resolve them in this order (1 = highest priority):
The user cannot see your thoughts, reasoning, scratchpad, intermediate tool outputs, or assistant prose. Your words reach the user through three output channels: (1) the string you pass to finish(summary_in_html=…), (2) the progress notes you pass to summary(…), and (3) speech played by talk(). (Interactive tools such as ask_user_question() and a browser made visible with show_browser() are also user-visible, but use them for interaction, not for delivering answers.) finish(summary_in_html=…) is the primary answer channel: the complete final answer MUST be in it. Compose the full detailed answer directly inside the summary_in_html string of finish(), always formatted as HTML (e.g. <h3>, <p>, <ul>, <pre><code>), never Markdown. When answering informational questions, include the complete answer in the summary, not a meta-description of what was done. The summary MUST contain the actual content the user should see, NOT a third-person narration of what happened.
If the user wants a report or if your answer exceeds roughly 800 words, create a detailed html report in chunks with diagrams and illustrations (that do not look AI-generated: no generic stock imagery, no decorative clip-art; use diagrams that carry real information) in ./reports. The report must be accessible to a general audience. Check the report against the AI-slop checklist in the identity section and remove any AI slop.
Default policy — CRITICAL: Before starting any task, ask yourself: “Am I fully confident I can complete this task correctly, with current and accurate information, WITHOUT Internet search using Google?” Only when the answer is a clear yes (e.g., trivial arithmetic, or a purely mechanical edit fully specified by the user in files you have already read, coding based on local files) may you skip Google Internet research. If any part of the task involves external APIs, libraries, tools, versions, best practices, or facts that could be outdated or wrong in your training data, you are NOT confident enough — search the Internet using Google. When in doubt, search the Internet using Google first.
When doing Google Internet research:
If Google search is blocked, open a keyword search for your current research topic in the Chromium browser, and ask the user to manually pass the bot check. If that fails, you can use other search engines.
Real-Time Data — CRITICAL
For questions about current events, weather, stock prices, sports scores, or any time-sensitive information: you MUST use tools (go_to_url, Bash) to look up the data. Do NOT answer from your training data — it is outdated and will produce incorrect dates, numbers, and facts. For such lookups you may visit as few as 1 authoritative website instead of 10. If a task is both time-sensitive AND involves unfamiliar APIs, libraries, or best practices, the full 10-site rule applies.
Write simple, clean, readable code with minimal indirection. These rules exist because over-abstracted code is harder to debug and maintain.
Your VERY FIRST tool call in EVERY task (project-related or not) MUST be Read("./SORCAR.md"); it may contain user memory and preferences relevant to any task. Follow the instructions in SORCAR.md, subject to the Rule Precedence order in the identity section. If the first user input is spoken, still Read("./SORCAR.md") first, then reply with talk().
Pre-flight Checks
Read before modify rule — NON-NEGOTIABLE: You MUST call Read(file_path) on every existing file BEFORE calling Edit(file_path) on it or overwriting it with Write(file_path). Never modify a file you have not Read in the current session.
Read relevant source files when the task depends on existing architecture. If referenced files, commands, or config don’t exist, stop and ask the user rather than guessing.
When fixing bugs, issues, or race conditions, write an end-to-end test that reproduces the problem first, then fix the code, and finally verify the test passes.
Mandatory Instructions (MUST FOLLOW): You will be exploring, implementing, and evaluating novel ideas while doing AI discovery or auto research or optimization or AI research.
Use the following technique when the user asks for adversarial testing, which makes sure that the software system you developed is correct/efficient under all conditions. Use a subtask to break the system by writing adversarial tests/adversarial workloads, and use another subtask to fix the issues.
Use the following technique when the user asks for adversarial training, which makes sure that the model does not overfit the data. If you are training an AI model, iteratively generate adversarial datasets having the same characteristics as the original dataset, but will make the model score less. Then tune the model to handle the discrepancy. Repeat the process until the model scores high on a new adversarial dataset.
For work spanning 3+ files, crossing module boundaries, or changing architecture:
Skip this planning step for simple single-file modifications.
When exploring unfamiliar code, collect information and code snippets in ./tmp/file-information-{unique_id}.md as you go, relevant for the task, then review the collected material and think deeply before acting. When fixing a localized bug, locate the code with grep first and Read only the implicated regions and their direct call sites; widen the reading only when a concrete question requires it.
Interact with desktop applications using the available screenshot, keyboard, and mouse tools (screenshot(), press_key(), click()). Do not launch VS Code or its extensions.
Before calling finish(success=True):
,
), never Markdown")
The summary_in_html argument of finish MUST always be formatted as HTML.
Work dir: /Users/ksen/work/kiss
Current process PID: 10593 — NEVER kill this process.
what and where in code do you add extra information about working dir, process id etc. to the system prompt?
Investigated where extra runtime info (work dir, PID) is appended to the system prompt:
./SORCAR.md first per mandatory workflow."Work dir" and found the template in src/kiss/agents/sorcar/relentless_agent.py — the IMPORTANT_INSTRUCTIONS module constant (lines ~38-48) containing the - Work dir: {work_dir} and - Current process PID: {current_pid} lines.RelentlessAgent.perform_task() (lines self.work_dir and os.getpid(), appends the user's `contents if present, then buildssystem_prompt = self.system_prompt + important_instructions` before each executor session.sorcar_agent.py imports SYSTEM_PROMPT from kiss.core.base (SYSTEM.md), appends an optional suffix and a current_editor_file line in run() (lines ~1546-1566).self.work_dir is resolved in RelentlessAgent.__init__ (line 170).grep -rn "Work dir" src/kiss --include=*.py | head -20grep -n "IMPORTANT_INSTRUCTIONS\|current_pid\|work_dir=" /Users/ksen/work/kiss/src/kiss/agents/sorcar/relentless_agent.pygrep -rn "SYSTEM.md\|RelentlessAgent(" /Users/ksen/work/kiss/src/kiss/agents/sorcar/*.py | grep -v test | head; grep -n "self.work_dir" /Users/ksen/work/kiss/src/kiss/agents/sorcar/relentless_agent.py | headgrep -n "SYSTEM.md\|system_prompt" /Users/ksen/work/kiss/src/kiss/agents/sorcar/sorcar_agent.py | head -20grep -rn "SYSTEM_PROMPT\s*=" /Users/ksen/work/kiss/src/kiss/agents/sorcar/*.py | grep -v test | head; sed -n 1540,1575p /Users/ksen/work/kiss/src/kiss/agents/sorcar/sorcar_agent.pygrep -n "SYSTEM_PROMPT" /Users/ksen/work/kiss/src/kiss/agents/sorcar/sorcar_agent.py | head -5; grep -rn "SYSTEM_PROMPT" /Users/ksen/work/kiss/src/kiss/agents/sorcar/useful_config.py /Users/ksen/work/kiss/src/kiss/agents/sorcar/__init__.py 2>/dev/null | headgrep -n "SYSTEM_PROMPT" /Users/ksen/work/kiss/src/kiss/core/base.py | head -5The lines you see at the bottom of the system prompt (# MOST IMPORTANT INSTRUCTIONS, Work dir: …, Current process PID: …) are added in src/kiss/agents/sorcar/relentless_agent.py.
IMPORTANT_INSTRUCTIONS (module constant, ~lines 38–48)IMPORTANT_INSTRUCTIONS = """
# MOST IMPORTANT INSTRUCTIONS
- **If the task is not complete and you are at risk of running out of context \
length, you MUST call finish(success=False, is_continue=True, \
summary_in_html="...")**
- The summary_in_html argument of finish MUST always be formatted as HTML.
- Work dir: {work_dir}
- Current process PID: {current_pid} — NEVER kill this process.
"""RelentlessAgent.perform_task() (~lines 256–266)current_pid = str(os.getpid())
important_instructions = IMPORTANT_INSTRUCTIONS.format(
work_dir=self.work_dir,
current_pid=current_pid,
)
sorcar_md = config_module.kiss_home() / "SORCAR.md"
if sorcar_md.is_file():
important_instructions += "\n" + sorcar_md.read_text()
system_prompt = self.system_prompt + important_instructionsSo at task start the agent:
self.work_dir (resolved in RelentlessAgent.__init__, line ~170: str(Path(work_dir or default_work_dir).resolve())) and the live os.getpid();~/.kiss/SORCAR.md if it exists (global user memory/preferences);system_prompt to every per-session KISSAgent executor (so it survives continuations across sub-sessions).src/kiss/core/base.py (lines ~25–43): loads the base prompt — SYSTEM_PROMPT = (_kiss_pkg_dir / "SYSTEM.md").read_text(...) — and appends a platform note on Windows (Git Bash vs. PowerShell guidance).src/kiss/agents/sorcar/sorcar_agent.py (run(), ~lines 1546–1566): assembles system_instructions = (base_system_prompt or SYSTEM_PROMPT) + system_prompt_suffix, and appends one more dynamic line when an editor file is open: "- The path of the file open in the editor is {current_editor_file}".In short: the base identity comes from SYSTEM.md via kiss/core/base.py; the runtime-specific extras (work dir, PID, SORCAR.md memory) are formatted and appended in RelentlessAgent.perform_task() in src/kiss/agents/sorcar/relentless_agent.py.
You are KISS Sorcar, an AI Assistant and a general-purpose multi-model, multi-modal, multi-agent AI Agent Framework researched and developed by Koushik Sen (ksen@berkeley.edu). You can do software development, control a computer, research, discover, write papers, create presentations, chat with other agents via voice or internet, shop, bank, message, email, browse, and do data science. Repo: https://github.com/ksenxx/kiss_ai. Website is https://kisssorcar.github.io/. Version: 2026.8.12
Your sole goal is completing the user’s task accurately and thoroughly. Be honest, direct, rigorous, check facts, and produce ONLY highest-quality work with NO AI SLOP. "AI slop" means: filler phrases, hedging boilerplate, invented facts or citations, generic stock imagery, emoji or em-dash overuse, and content-free repetition. After the task is done and before you finish, re-read your deliverables and remove all AI slop.
When instructions conflict, resolve them in this order (1 = highest priority):
The user cannot see your thoughts, reasoning, scratchpad, intermediate tool outputs, or assistant prose. Your words reach the user through three output channels: (1) the string you pass to finish(summary_in_html=…), (2) the progress notes you pass to summary(…), and (3) speech played by talk(). (Interactive tools such as ask_user_question() and a browser made visible with show_browser() are also user-visible, but use them for interaction, not for delivering answers.) finish(summary_in_html=…) is the primary answer channel: the complete final answer MUST be in it. Compose the full detailed answer directly inside the summary_in_html string of finish(), always formatted as HTML (e.g. <h3>, <p>, <ul>, <pre><code>), never Markdown. When answering informational questions, include the complete answer in the summary, not a meta-description of what was done. The summary MUST contain the actual content the user should see, NOT a third-person narration of what happened.
If the user wants a report or if your answer exceeds roughly 800 words, create a detailed html report in chunks with diagrams and illustrations (that do not look AI-generated: no generic stock imagery, no decorative clip-art; use diagrams that carry real information) in ./reports. The report must be accessible to a general audience. Check the report against the AI-slop checklist in the identity section and remove any AI slop.
Default policy — CRITICAL: Before starting any task, ask yourself: “Am I fully confident I can complete this task correctly, with current and accurate information, WITHOUT Internet search using Google?” Only when the answer is a clear yes (e.g., trivial arithmetic, or a purely mechanical edit fully specified by the user in files you have already read, coding based on local files) may you skip Google Internet research. If any part of the task involves external APIs, libraries, tools, versions, best practices, or facts that could be outdated or wrong in your training data, you are NOT confident enough — search the Internet using Google. When in doubt, search the Internet using Google first.
When doing Google Internet research:
If Google search is blocked, open a keyword search for your current research topic in the Chromium browser, and ask the user to manually pass the bot check. If that fails, you can use other search engines.
Real-Time Data — CRITICAL
For questions about current events, weather, stock prices, sports scores, or any time-sensitive information: you MUST use tools (go_to_url, Bash) to look up the data. Do NOT answer from your training data — it is outdated and will produce incorrect dates, numbers, and facts. For such lookups you may visit as few as 1 authoritative website instead of 10. If a task is both time-sensitive AND involves unfamiliar APIs, libraries, or best practices, the full 10-site rule applies.
Write simple, clean, readable code with minimal indirection. These rules exist because over-abstracted code is harder to debug and maintain.
Your VERY FIRST tool call in EVERY task (project-related or not) MUST be Read("./SORCAR.md"); it may contain user memory and preferences relevant to any task. Follow the instructions in SORCAR.md, subject to the Rule Precedence order in the identity section. If the first user input is spoken, still Read("./SORCAR.md") first, then reply with talk().
Pre-flight Checks
Read before modify rule — NON-NEGOTIABLE: You MUST call Read(file_path) on every existing file BEFORE calling Edit(file_path) on it or overwriting it with Write(file_path). Never modify a file you have not Read in the current session.
Read relevant source files when the task depends on existing architecture. If referenced files, commands, or config don’t exist, stop and ask the user rather than guessing.
When fixing bugs, issues, or race conditions, write an end-to-end test that reproduces the problem first, then fix the code, and finally verify the test passes.
Mandatory Instructions (MUST FOLLOW): You will be exploring, implementing, and evaluating novel ideas while doing AI discovery or auto research or optimization or AI research.
Use the following technique when the user asks for adversarial testing, which makes sure that the software system you developed is correct/efficient under all conditions. Use a subtask to break the system by writing adversarial tests/adversarial workloads, and use another subtask to fix the issues.
Use the following technique when the user asks for adversarial training, which makes sure that the model does not overfit the data. If you are training an AI model, iteratively generate adversarial datasets having the same characteristics as the original dataset, but will make the model score less. Then tune the model to handle the discrepancy. Repeat the process until the model scores high on a new adversarial dataset.
For work spanning 3+ files, crossing module boundaries, or changing architecture:
Skip this planning step for simple single-file modifications.
When exploring unfamiliar code, collect information and code snippets in ./tmp/file-information-{unique_id}.md as you go, relevant for the task, then review the collected material and think deeply before acting. When fixing a localized bug, locate the code with grep first and Read only the implicated regions and their direct call sites; widen the reading only when a concrete question requires it.
Interact with desktop applications using the available screenshot, keyboard, and mouse tools (screenshot(), press_key(), click()). Do not launch VS Code or its extensions.
Before calling finish(success=True):
,
), never Markdown")
The summary_in_html argument of finish MUST always be formatted as HTML.
Work dir: /Users/ksen/work/kiss
Current process PID: 10593 — NEVER kill this process.
what and where in code do you add extra information about working dir, process id etc. to the system prompt?
The lines you see at the bottom of the system prompt (# MOST IMPORTANT INSTRUCTIONS, Work dir: …, Current process PID: …) are added in src/kiss/agents/sorcar/relentless_agent.py.
IMPORTANT_INSTRUCTIONS (module constant, ~lines 38–48)IMPORTANT_INSTRUCTIONS = """
# MOST IMPORTANT INSTRUCTIONS
- **If the task is not complete and you are at risk of running out of context \
length, you MUST call finish(success=False, is_continue=True, \
summary_in_html="...")**
- The summary_in_html argument of finish MUST always be formatted as HTML.
- Work dir: {work_dir}
- Current process PID: {current_pid} — NEVER kill this process.
"""RelentlessAgent.perform_task() (~lines 256–266)current_pid = str(os.getpid())
important_instructions = IMPORTANT_INSTRUCTIONS.format(
work_dir=self.work_dir,
current_pid=current_pid,
)
sorcar_md = config_module.kiss_home() / "SORCAR.md"
if sorcar_md.is_file():
important_instructions += "\n" + sorcar_md.read_text()
system_prompt = self.system_prompt + important_instructionsSo at task start the agent:
self.work_dir (resolved in RelentlessAgent.__init__, line ~170: str(Path(work_dir or default_work_dir).resolve())) and the live os.getpid();~/.kiss/SORCAR.md if it exists (global user memory/preferences);system_prompt to every per-session KISSAgent executor (so it survives continuations across sub-sessions).src/kiss/core/base.py (lines ~25–43): loads the base prompt — SYSTEM_PROMPT = (_kiss_pkg_dir / "SYSTEM.md").read_text(...) — and appends a platform note on Windows (Git Bash vs. PowerShell guidance).src/kiss/agents/sorcar/sorcar_agent.py (run(), ~lines 1546–1566): assembles system_instructions = (base_system_prompt or SYSTEM_PROMPT) + system_prompt_suffix, and appends one more dynamic line when an editor file is open: "- The path of the file open in the editor is {current_editor_file}".In short: the base identity comes from SYSTEM.md via kiss/core/base.py; the runtime-specific extras (work dir, PID, SORCAR.md memory) are formatted and appended in RelentlessAgent.perform_task() in src/kiss/agents/sorcar/relentless_agent.py.
can you also append other settings information such as worktree mode, parallel mode, model name, budget, starting time, chat id, task id, parent id, is subagent to the system prompt? Also append those information to the static task panel in the chat webview and the share chat html which are shown when the static task panel is uncollapsed. The information should be similar to the information showed in the task panel of the task history panel. Use 'claude-fable-5' model for all tasks, including software development. Use 'gpt-5.6-sol' (not codex) for a thorough read-only review and debugging of the other model's work. Thoroughly check whether the other model has missed any code or wiring or introduced any bugs. Use at most 50% of task budget in gpt-5.6-sol for reviewing and debugging, and ask the model to not invent new problems. Use the model names literally without hallucinating new model names.
Task: Append settings info (worktree mode, parallel mode, model name, budget, starting time, chat id, task id, parent id, is subagent) to (1) the system prompt, (2) the static task panel in the chat webview when uncollapsed, and (3) the share chat HTML — mirroring the info in the task-history panel. Then review with gpt-5.6-sol (≤50% budget, read-only).
Done so far:
./SORCAR.md (memory: govee lights, pending vision feature — not relevant here).claude-fable-5../tmp/PROGRESS.md (previous git-commit-button task) and listed src/kiss/agents/sorcar/ files.relentless_agent.py fully — IMPORTANT_INSTRUCTIONS template is formatted in perform_task() with work_dir and current_pid; needs new fields injected (likely via a new attribute set by callers such as sorcar_agent.py).main.js: found history panel rendering in renderHistory() (~line 9560-9790) which shows metrics (steps • tok • $cost • duration • date), workspace line (workDir • model • wt/no-wt • parallel/sequential • auto-commit/manual-commit), and ids line (chat <id> • task <id> • parent <id>) — this is the reference format.#task-panel, #task-panel-text, #task-panel-drawer-btn, setTaskText() at taskDrawerCollapsed (Next: examine the task-panel drawer expand logic, share.js/share HTML generation, chat.html markup for #task-panel, and where sorcar_agent/server know worktree/parallel/chat-id/task-id/parent-id/subagent settings, then plan the edits.
cat ./tmp/PROGRESS.md 2>/dev/null | head -50; echo ---; ls src/kiss/agents/sorcar/Now let me explore the webview code and find the task history panel, static task panel, and share chat HTML.
ls src/kiss/agents/vscode/media/ src/kiss/agents/vscode/src/ 2>/dev/null; grep -rn "worktree" src/kiss/agents/vscode/media/main.js | head -30grep -rn "task panel\|task-panel\|taskPanel\|static-task\|staticTask" src/kiss/agents/vscode/media/main.js | head -30; echo ===; grep -rn "history" src/kiss/agents/vscode/media/main.js | grep -i "panel\|render" | head -20sed -n 9400,9600p src/kiss/agents/vscode/media/main.jssed -n 9600,9900p src/kiss/agents/vscode/media/main.jssed -n 2330,2560p src/kiss/agents/vscode/media/main.jsExploration continued (steps 11-19):
chat.html line 31 — #task-panel contains #task-panel-text, #task-panel-drawer-btn (expand/collapse via taskDrawerCollapsed + applyDrawerState() toggling class drawer-collapsed, main.js #task-panel-copy. setTaskText() (shareTaskPanel(taskText, seq) (main.js #task-panel per task in expanded state; buildShareableHtml(tasks) (share_tasks reply, each {task, task_id, events}.workDir • model • wt/no-wt • parallel/sequential • auto-commit/manual-commit; ids line = chat <id> • task <id> • parent <id>; metrics = steps/tok/cost/duration/date.task_runner.py (~1067) calls agent.run(... is_parallel=state.use_parallel, use_worktree=..., auto_commit=state.auto_commit_mode, max_budget=..., model_name=model ...) where agent is WorktreeSorcarAgent. agent_state.py has parent_task_id, auto_commit_mode, is_subagent (property parent_task_id is not None). server.py sessions dict includes is_worktree/is_parallel/auto_commit_mode from state or persisted extra JSON._chat_id, _last_task_id, _subagent_info, _tab_id; allocates task_id via _add_task(...) in run() (~line 409) with extra payload built by _build_extra_payload (includes subagent marker).RelentlessAgent.perform_task() formats IMPORTANT_INSTRUCTIONS (work_dir, PID) — plan is to add a settings block attribute that subclasses populate.Next: read chat_sorcar_agent.py run() fully + worktree_sorcar_agent.py run() to see the kwarg flow (use_worktree, auto_commit), _build_extra_payload, _add_task, then decide the wiring for system prompt + webview events (what event tells the webview the task settings), then plan all edits.
grep -n "task-panel\|taskPanel" src/kiss/agents/vscode/media/chat.html; echo ===; grep -n "taskDrawer\|task-panel-drawer" src/kiss/agents/vscode/media/main.js | head -30sed -n 2560,2640p src/kiss/agents/vscode/media/main.js; echo ====7260; sed -n 7260,7300p src/kiss/agents/vscode/media/main.jssed -n 7180,7262p src/kiss/agents/vscode/media/main.js; echo ====; sed -n 7300,7420p src/kiss/agents/vscode/media/main.jsgrep -n "def run\|system_prompt_suffix\|current_editor_file\|is_subagent\|parent_task_id\|chat_id\|task_id\|use_worktree\|parallel\|start_ts\|auto_commit" src/kiss/agents/sorcar/sorcar_agent.py | head -60sed -n 1454,1710p src/kiss/agents/sorcar/sorcar_agent.pygrep -rn "is_worktree\|is_parallel\|parent_task_id\|auto_commit_mode" src/kiss/server/*.py src/kiss/agents/sorcar/persistence.py | head -40grep -rn "SorcarAgent().run\|\.run(" src/kiss/server/*.py | grep -v "#" | head; echo ===; grep -rn "def _run_agent\|sorcar_agent\|ChatSorcarAgent\|WorktreeSorcarAgent" src/kiss/server/*.py | head -20sed -n 980,1120p src/kiss/server/task_runner.pywc -l src/kiss/agents/sorcar/chat_sorcar_agent.py src/kiss/agents/sorcar/worktree_sorcar_agent.py; grep -n "def run\|def _\|_chat_id\|_tab_id\|task_id\|use_worktree\|is_subagent\|subagent" src/kiss/agents/sorcar/chat_sorcar_agent.py | head -50Exploration continued (steps 21-29):
ChatSorcarAgent.run() fully: allocates task_id via _add_task(prompt, chat_id, extra=early_extra) where early_extra = _build_extra_payload(model, work_dir, is_parallel, is_worktree) (+ subagent marker when _subagent_info set). is_worktree computed as self.uses_worktree and _dir_inside_worktree(...). Class chain: WorktreeSorcarAgent(ChatSorcarAgent) → ChatSorcarAgent(SorcarAgent) → SorcarAgent(RelentlessAgent).JsonPrinter.broadcast() records+persists events whose type is in _DISPLAY_EVENT_TYPES (json_printer.py line 48: clear, prompt, result, tool_call, usage_info, …). A new task_settings event type would need adding there to persist/replay.case 'task_events' (main.js ~6485) parses ev.extra JSON (persisted task extra: startTs, endTs, work_dir — and also contains model/is_worktree/is_parallel/subagent) and calls setTaskText(ev.task). Live start path: server commands.py line 350 broadcasts setTaskText event. replayDetachedTranscript renders foreign tasks into detached containers (shared renderer at ~4832 case 'prompt' renders into target).server.py line ~1369 sends "extra": _extra_for_replay(result.get("extra","")) in task_events; line 1563 same for subagent tabs; line 1797 adjacent_task_events.Key design realization: the persisted task extra JSON already carries most settings (model, is_worktree, is_parallel, subagent, work_dir, startTs) and reaches the webview via task_events.extra. Remaining: check _extra_for_replay, what commands.py:350 setTaskText carries, share_tasks reply fields, and what's missing (budget, chat_id, task_id, parent_task_id in extra). Then plan: (1) system prompt hook in RelentlessAgent + override in ChatSorcarAgent; (2) enrich extra payload with max_budget/chat_id/parent info; (3) broadcast a live task_settings event or extend setTaskText; (4) #task-panel-info element + CSS + renderers; (5) share HTML panel info.
grep -n "class \|uses_worktree" src/kiss/agents/sorcar/worktree_sorcar_agent.py | head; grep -n "class ChatSorcarAgent\|^from\|^import" src/kiss/agents/sorcar/chat_sorcar_agent.py | head -20; echo ===; grep -n "start_recording\|_record_event\|def broadcast\|_PERSISTED\|record_types\|def print" src/kiss/server/json_printer.py | head -20sed -n 1005,1230p src/kiss/server/json_printer.pygrep -n "_DISPLAY_EVENT_TYPES" src/kiss/server/*.py | head -5; sed -n "$(grep -n '_DISPLAY_EVENT_TYPES = ' src/kiss/server/json_printer.py | cut -d: -f1),+30p" src/kiss/server/json_printer.pysed -n 700,730p src/kiss/server/json_printer.py; echo ===; grep -n "case 'prompt'\|function handleEvent\|function replayDetachedTranscript\|function handleReplay\|case 'usage_info'\|currentTaskId =" src/kiss/agents/vscode/media/main.js | head -20sed -n 2877,2990p src/kiss/agents/vscode/media/main.js; echo ====4820; sed -n 4820,4900p src/kiss/agents/vscode/media/main.jsawk 'NR>=4600 && NR<=4832 && /function /' src/kiss/agents/vscode/media/main.js | head; grep -n "function renderEvent\|function handleContentEvent\|replayEventsInto\|setTaskText(" src/kiss/agents/vscode/media/main.js | head -30sed -n 6420,6570p src/kiss/agents/vscode/media/main.jsgrep -n "setTaskText\|task_events\|\"extra\"\|'extra'" src/kiss/server/*.py | head -30Exploration continued (steps 31-40):
_extra_for_replay strips model/is_worktree/is_parallel/auto_commit_mode from task_events.extra because commit ce45ea4e5 fixed "historical task settings clobbering global config" — so replayed settings for display must ride in a NEW envelope field, not extra.server.py _get_history ~755-870) maps persisted extra JSON → session fields: model, is_worktree, is_parallel, auto_commit_mode, work_dir, startTs, endTs, tokens, cost, steps, is_subagent, parent_task_id — the reference data model.share_tasks reply (web_server.py _handle_share_chat_tasks ~4560): each task = {task, task_id, events} from _load_all_chat_events_by_chat_id (rows likely also carry extra — to verify).handleOutputEvent(ev, target, tState, ownerWorkDir, ownerTabId) (main.js 4437) used by both live dispatch (5126/5195) and renderReplayedEvents (7688). replayTaskEvents(events) replays into O for active tab; replayDetachedTranscript into detached containers.updateVisibleTask() (~5450) calls setTaskText(region.task) when scrolling across spliced .adjacent-task[data-task-id] containers; scrollChatToTask similar — panel info must follow the same paths keyed by task id.Plan crystallizing: (1) system-prompt hook _system_prompt_task_settings() in RelentlessAgent (model, budget, start time) + overrides in SorcarAgent (parallel) and ChatSorcarAgent (worktree, chat/task/parent id, subagent), appended in perform_task; (2) ChatSorcarAgent.run broadcasts a persisted task_settings display event (add to _DISPLAY_EVENT_TYPES) carrying the settings dict; (3) webview: #task-panel-info element + CSS (hidden when .drawer-collapsed), taskSettingsById map, renderer case storing settings + panel update paths (live event, task_events replay, updateVisibleTask, tab switch restore); (4) share HTML: extract task_settings event per task in buildShareableHtml → fill cloned panel info. Next: verify a few remaining call-site details (live dispatch 5126/5195, tab save/restore 690-830), then write the plan and implement.
grep -n "_extra_for_replay" src/kiss/server/*.py | head -3; sed -n "$(grep -n 'def _extra_for_replay' src/kiss/server/server.py | cut -d: -f1),+45p" src/kiss/server/server.py; echo ===; sed -n 330,365p src/kiss/server/commands.pysed -n 60,94p src/kiss/server/server.py; echo ===; grep -n "startTs\|endTs" src/kiss/agents/sorcar/persistence.py | head; grep -n "def _add_task\|def _save_task_extra" src/kiss/agents/sorcar/persistence.pygit -C /Users/ksen/work/kiss log --oneline -3; git -C /Users/ksen/work/kiss grep -n "_REPLAY_STRIPPED_EXTRA_KEYS" -- src/kiss | head; sed -n "$(grep -n 'why\|rationale\|_REPLAY_STRIPPED' src/kiss/server/server.py | head -1 | cut -d: -f1),+0p" src/kiss/server/server.py; grep -rn "REPLAY_STRIPPED" src/kiss/tests -l | headsed -n 40,60p src/kiss/server/server.py; grep -n "_REPLAY_STRIPPED_EXTRA_KEYS = " -A 10 -B 20 src/kiss/server/server.py | sed -n 1,30pgit -C /Users/ksen/work/kiss log -S "_REPLAY_STRIPPED_EXTRA_KEYS" --oneline | tail -3; git -C /Users/ksen/work/kiss log -S "_REPLAY_STRIPPED_EXTRA_KEYS" --format='%H %s' | tail -1grep -n "share_tasks" src/kiss/server/*.py src/kiss/agents/vscode/media/*.js | head; sed -n "$(grep -n 'share_tasks' src/kiss/server/commands.py | head -1 | cut -d: -f1),+60p" src/kiss/server/commands.py 2>/dev/nullsed -n 4540,4650p src/kiss/server/web_server.pysed -n 740,880p src/kiss/server/server.py; grep -n "def _load_all_chat_events_by_chat_id" -A 30 src/kiss/agents/sorcar/persistence.py | sed -n 1,45pawk 'NR<=4832 && /^ function /' src/kiss/agents/vscode/media/main.js | tail -5; echo ===; sed -n 5400,5560p src/kiss/agents/vscode/media/main.jsgrep -n "handleOutputEvent(" src/kiss/agents/vscode/media/main.js; echo ===; sed -n 7634,7740p src/kiss/agents/vscode/media/main.jsDesign finalized (steps 41-50). Key discoveries:
task_history uses typed columns (model, work_dir, is_parallel, is_worktree, auto_commit_mode, start_ts, end_ts, parent_task_id, ...); extra JSON is synthesized by _row_to_extra_json; _save_task_extra maps payload keys via _EXTRA_COL_MAP; new-column migrations go in _add_missing_columns (pattern: owner column). Adding max_budget column requires touching: schema DDL, _add_missing_columns, _HISTORY_SELECT, _EXTRA_COL_MAP, _row_to_extra_json.handleEvent routes display events; TASK_SCOPED_STREAM_TYPES (main.js 5754) gates non-active-tab task events; tabs prove ownership via pendingTaskId/currentTaskId (tabTaskId). Plan: add 'task_settings' to that set._system_prompt_task_settings() on RelentlessAgent (model/budget/start time) + overrides in SorcarAgent (parallel) + ChatSorcarAgent (worktree via new self._run_is_worktree, chat id via _chat_id, task id via last_task_id, subagent/parent via _subagent_info), appended as # Task Settings section in perform_task before SORCAR.md; (2) live+persisted task_settings display event broadcast from ChatSorcarAgent.run after start_recording (add type to _DISPLAY_EVENT_TYPES in json_printer.py so it records/persists/replays); (3) legacy-row synthesis helper task_settings_event_from_row in json_printer.py, prepended at the 3 task_events builders + adjacent_task_events in server.py and share_tasks in web_server.py when events lack one; (4) webview: #task-panel-info element in chat.html + main.css rules (hidden when .drawer-collapsed or empty), main.js: currentTaskSettings, taskSettingsById, taskPanelInfoHTML/renderTaskPanelInfo/setTaskSettings, case 'task_settings' in handleOutputEvent (ownerTabId-based routing), tab save/restore, updateVisibleTask/scrollChatToTask integration, share export (shareTaskPanel/shareTaskSection/buildShareableHtml extract settings from task events).Next: read #task-panel CSS in main.css, isForActiveTab/findTabByEvt, makeTab fields, then write plan to ./tmp/PROGRESS.md and start implementing (model claude-fable-5; review later with gpt-5.6-sol ≤50% budget).
sed -n 5100,5210p src/kiss/agents/vscode/media/main.js; echo ===680; sed -n 680,730p src/kiss/agents/vscode/media/main.jssed -n 5948,6100p src/kiss/agents/vscode/media/main.jsgrep -n "processOutputEvent(\|processOutputEventForBgTab(" src/kiss/agents/vscode/media/main.js | head; echo ===; sed -n "$(grep -n 'function routeOutputEvent\|default:' src/kiss/agents/vscode/media/main.js | grep -A0 default | head -3 | cut -d: -f1)p" src/kiss/agents/vscode/media/main.js; grep -n "OUTPUT_EVENT_TYPES\|_outputTypes\|isOutputEvent" src/kiss/agents/vscode/media/main.js | headsed -n 6940,7060p src/kiss/agents/vscode/media/main.jssed -n 1190,1260p src/kiss/server/server.py; echo ====1340; sed -n 1340,1400p src/kiss/server/server.py; echo ====1540; sed -n 1540,1580p src/kiss/server/server.py; echo ====1770; sed -n 1770,1810p src/kiss/server/server.pygrep -rn "_load_chat_events_by_task_id\|_load_latest_chat_events_by_chat_id\|_load_all_chat_events_by_chat_id\|_get_adjacent_task_by_chat_id" src/kiss --include=*.py | grep -v tests | grep -v "def \|persistence.py"; echo ===; sed -n 520,575p src/kiss/agents/sorcar/persistence.py; echo ===coalesce; sed -n "$(grep -n 'def _coalesce_events' src/kiss/server/json_printer.py | cut -d: -f1),+25p" src/kiss/server/json_printer.pygrep -n "CREATE TABLE\|ALTER TABLE\|ADD COLUMN\|_HISTORY_SELECT\|_EXTRA_KEY_COLUMNS\|max_budget" src/kiss/agents/sorcar/persistence.py | head -30; echo ===; sed -n 1640,1760p src/kiss/agents/sorcar/persistence.pysed -n 495,520p src/kiss/agents/sorcar/persistence.py; sed -n 625,730p src/kiss/agents/sorcar/persistence.pygrep -n "TASK_SCOPED_STREAM_TYPES\|PRE_ADOPTION_TYPES" src/kiss/agents/vscode/media/main.js | head; sed -n "$(grep -n 'TASK_SCOPED_STREAM_TYPES = ' src/kiss/agents/vscode/media/main.js | cut -d: -f1),+25p" src/kiss/agents/vscode/media/main.js; sed -n "$(grep -n 'PRE_ADOPTION_TYPES = ' src/kiss/agents/vscode/media/main.js | cut -d: -f1),+12p" src/kiss/agents/vscode/media/main.jsExploration complete (steps 51-60). Final details confirmed:
#task-panel is display:block; #task-panel-text is a block child; drawer-collapsed truncates text via CSS — so #task-panel-info fits as a sibling div, hidden by #task-panel.drawer-collapsed #task-panel-info { display:none }.WebPrinter.broadcast: task events (no tabId) are recorded+persisted and one stamped copy per subscribed tab is sent; subscription happens in _on_run_task_id_allocated → register_task_ui. So the live task_settings broadcast must go after the on_task_id_allocated call in ChatSorcarAgent.run. Sub-agent tabs get it via replay of the in-memory recording (peek_recording_for_task, filtered by _DISPLAY_EVENT_TYPES which will include task_settings).{task, task_id, chat_id, events, extra} (extra synthesized from typed columns by _row_to_extra_json), so ONE helper with_task_settings_event(events, session) in json_printer.py covers server.py task_events (1364), subagent rows (1563), adjacent (1797) and web_server share (4609).max_budget needs a new typed column: DDL + _add_missing_columns + _HISTORY_SELECT + _EXTRA_COL_MAP + _row_to_extra_json in persistence.py.src/kiss/agents/vscode/test/*.test.js use JSDOM loading chat.html+main.js, dispatch message events, assert DOM + posted API calls (run via node test/run-all.js). Python tests in src/kiss/tests/agents/sorcar/ exercise real sqlite persistence + VSCodeServer.Next: write the full plan to ./tmp/PROGRESS.md, then implement: relentless_agent.py (settings hook + append), sorcar_agent.py (parallel override), chat_sorcar_agent.py (worktree/chat/task/subagent override + task_settings broadcast + max_budget in extra), persistence.py (max_budget column), json_printer.py (_DISPLAY_EVENT_TYPES + synthesis helper), server.py (3 call sites), web_server.py (share), chat.html/main.css/main.js (panel info + share), then tests, then gpt-5.6-sol review (≤50% budget).
grep -n "#task-panel" src/kiss/agents/vscode/media/main.css | head -20; sed -n "$(grep -n '^#task-panel {' src/kiss/agents/vscode/media/main.css | cut -d: -f1),+60p" src/kiss/agents/vscode/media/main.csssed -n 626,645p src/kiss/agents/vscode/media/main.css; echo ===makeTab; sed -n 500,545p src/kiss/agents/vscode/media/main.js; echo ===isForActive; sed -n "$(grep -n 'function isForActiveTab' src/kiss/agents/vscode/media/main.js | cut -d: -f1),+30p" src/kiss/agents/vscode/media/main.js; grep -n "function findTabByEvt" src/kiss/agents/vscode/media/main.jssed -n "$(grep -n 'def _on_run_task_id_allocated' src/kiss/server/task_runner.py | cut -d: -f1),+60p" src/kiss/server/task_runner.pysed -n "$(grep -n 'function mayAdoptTaskId' src/kiss/agents/vscode/media/main.js | cut -d: -f1),+40p" src/kiss/agents/vscode/media/main.js; sed -n 670,690p src/kiss/agents/vscode/media/main.jsgrep -n "class WebPrinter\|def broadcast\|def register_task_ui\|def _stamp\|_task_tabs\|def _fanout" src/kiss/server/web_server.py | head -20; sed -n "$(grep -n 'def broadcast' src/kiss/server/web_server.py | head -1 | cut -d: -f1),+75p" src/kiss/server/web_server.pysed -n 567,625p src/kiss/agents/sorcar/persistence.py; echo ===2580; sed -n 2580,2665p src/kiss/agents/sorcar/persistence.py; echo ===2700; sed -n 2700,2790p src/kiss/agents/sorcar/persistence.pyls src/kiss/tests/agents/sorcar src/kiss/tests/agents/vscode 2>/dev/null | head -60; ls src/kiss/agents/vscode/test 2>/dev/null | headsed -n 1,60p src/kiss/agents/vscode/test/adjacentTaskScroll.test.js; grep -n '"test"' src/kiss/agents/vscode/package.jsonsed -n 1,50p src/kiss/tests/agents/sorcar/conftest.py; grep -rln "FakeModel\|fake_llm\|DummyModel\|scripted" src/kiss/tests/agents/sorcar/*.py | head -5Implementation in progress (steps 61-90). Completed edits:
tmp/PROGRESS.md: full plan written.relentless_agent.py: added datetime import, TASK_SETTINGS_HEADER, hook _system_prompt_task_settings() (Model name, Max budget, Starting time), _task_settings_section(), and perform_task now appends the section to important_instructions before SORCAR.md.sorcar_agent.py: override adds Parallel mode from self._is_parallel.chat_sorcar_agent.py: import time; __init__ gains _run_is_worktree; _build_extra_payload gains max_budget param; new _system_prompt_task_settings override (Worktree mode, Chat id, Task id, Is subagent, Parent task id) and _task_settings_payload() builder; run() stores _run_is_worktree, computes run_max_budget from kwargs, passes budget into early extra, broadcasts persisted {"type":"task_settings","settings":{...}} AFTER on_task_id_allocated, and final extra saves resolved self.max_budget.persistence.py: new max_budget REAL DEFAULT 0.0 column (DDL comment included), _add_missing_columns generalized to a loop adding owner + max_budget, _HISTORY_SELECT includes it, _EXTRA_COL_MAP["max_budget"], _row_to_extra_json emits it, _add_task INSERT includes it (20 placeholders now).json_printer.py: json import; task_settings added to _DISPLAY_EVENT_TYPES; new _task_settings_event_from_session() + with_task_settings_event() synthesis helpers.server.py: imports helper; wraps events at 3 reply builders (task_events ×2, adjacent_task_events).web_server.py: imports helper; share_tasks reply wraps each row's events.chat.html: added <div id="task-panel-info"></div> inside #task-panel.main.css: #task-panel-info styles, hidden when :empty or .drawer-collapsed, .task-panel-info-line class.main.js: added currentTaskSettings + taskSettingsById globals.Remaining main.js work: taskPanelInfo const + taskPanelInfoHTML/renderTaskPanelInfo/setTaskSettings functions, case 'task_settings' in handleOutputEvent (evOwnerTab derivation exists; use raw ownerTabId===undefined for live-active), add to TASK_SCOPED_STREAM_TYPES, makeTab field + save/restore, setTaskText event clears settings, task_events clears before replay, updateVisibleTask/scrollChatToTask integration, share (shareTaskPanel/shareTaskSection/buildShareableHtml). Then tests (python + JSDOM), lint, gpt-5.6-sol review.
# Task: Append task-settings info to system prompt, static task panel, and share chat HTML
Settings to surface: worktree mode, parallel mode, model name, budget, starting
time, chat id, task id, parent id, is subagent — formatted like the task
history panel rows (`workDir • model • wt/no-wt • parallel/sequential`,
`chat <id> • task <id> • parent <id>`).
## Architecture discovered
- System prompt extras built in `RelentlessAgent.perform_task()`
(`IMPORTANT_INSTRUCTIONS` + `~/.kiss/SORCAR.md`).
- Class chain: `WorktreeSorcarAgent` → `ChatSorcarAgent` → `SorcarAgent` →
`RelentlessAgent`. `ChatSorcarAgent.run()` allocates `task_id` via
`_add_task`, knows `_chat_id`, `_subagent_info` (parent_task_id),
computed `is_worktree`, kwargs `is_parallel`/`model_name`/`max_budget`.
- `task_history` uses typed columns; `extra` JSON synthesized by
`_row_to_extra_json`; `_save_task_extra` maps keys via `_EXTRA_COL_MAP`;
post-release columns added in `_add_missing_columns`.
- Events: `JsonPrinter.broadcast` records+persists types in
`_DISPLAY_EVENT_TYPES`; `WebPrinter.broadcast` additionally fans a stamped
copy per tab subscribed via `register_task_ui` (wired in
`_on_run_task_id_allocated`, i.e. AFTER `ChatSorcarAgent.run`'s
`on_task_id_allocated` callback).
- Replay loaders all return `{task, task_id, chat_id, events, extra}`;
reply builders: server.py `task_events` (~1364), subagent `task_events`
(~1563), `adjacent_task_events` (~1797), web_server.py `share_tasks`
(~4609). `_extra_for_replay` strips model/is_worktree/is_parallel (commit
ce45ea4e5) so display settings must ride a synthesized event instead.
- Webview: shared renderer `handleOutputEvent(ev, target, tState,
ownerWorkDir, ownerTabId)`; live active-tab path passes ownerTabId
undefined; bg tab passes tab.id; replays pass opts.ownerTabId. Static
panel `#task-panel` (chat.html line 31), drawer collapse class
`drawer-collapsed`. Visible-task machinery: `updateVisibleTask()`,
`scrollChatToTask()` re-derive panel text from `.adjacent-task` regions.
Share: `shareTaskPanel/shareTaskSection/buildShareableHtml` clone
`#task-panel` per task from `share_tasks` reply `{task, task_id, events}`.
## Planned changes
1. `relentless_agent.py`: `_system_prompt_task_settings()` hook (model,
max budget, starting time) + append `# Task Settings` section in
`perform_task` before SORCAR.md.
2. `sorcar_agent.py`: override adds Parallel mode from `_is_parallel`.
3. `chat_sorcar_agent.py`: store `_run_is_worktree` + `_run_max_budget`;
override adds Worktree mode, Chat id, Task id, Is subagent, Parent task
id; `_build_extra_payload` gains `max_budget`; broadcast persisted
`task_settings` event (settings payload) AFTER `on_task_id_allocated`.
4. `persistence.py`: new `max_budget REAL DEFAULT 0.0` column (DDL,
`_add_missing_columns`, `_HISTORY_SELECT`, `_EXTRA_COL_MAP`,
`_row_to_extra_json`).
5. `json_printer.py`: add `task_settings` to `_DISPLAY_EVENT_TYPES`; helper
`with_task_settings_event(events, session)` synthesizing the event from a
session dict (for legacy rows without the persisted event).
6. `server.py` (3 sites) + `web_server.py` (share loop): wrap events with the
helper.
7. Webview `chat.html`: `#task-panel-info` div; `main.css`: styles + hidden
when `.drawer-collapsed`/empty; `main.js`: `currentTaskSettings`,
`taskSettingsById`, `taskPanelInfoHTML/renderTaskPanelInfo/
setTaskSettings`, `case 'task_settings'` in handleOutputEvent, add type to
`TASK_SCOPED_STREAM_TYPES`, tab save/restore + makeTab field,
`updateVisibleTask`/`scrollChatToTask` integration, `setTaskText` event
clears settings, share export fills per-task info.
8. Tests: python (persistence max_budget round-trip; json_printer synthesis;
system-prompt settings hook via agent classes; chat agent broadcast) and
JS JSDOM tests (live task_settings renders panel info; task_events replay;
share html contains info).
9. Review with gpt-5.6-sol (read-only, ≤50% budget, "don't invent problems").
## Log
- Explored all files listed above (steps 1-60); design finalized.
Now implementing. Start with relentless_agent.py:
Now sorcar_agent.py — add the parallel-mode override. Let me check the class layout near run:
sed -n 1440,1456p src/kiss/agents/sorcar/sorcar_agent.pyNow the run() changes in chat_sorcar_agent.py:
Now persistence.py — the max_budget column:
grep -n "_migrate_old_schema_if_needed\|_init_tables\|_add_missing_columns" src/kiss/agents/sorcar/persistence.py | head; sed -n 786,830p src/kiss/agents/sorcar/persistence.pygrep -n "INSERT INTO task_history\|_safe_float" src/kiss/agents/sorcar/persistence.py | head; echo ===; grep -rn "known_extra_keys" src/kiss/agents/sorcar/persistence.py | head -3; sed -n 828,845p src/kiss/agents/sorcar/persistence.pysed -n 1100,1200p src/kiss/agents/sorcar/persistence.pysed -n 1,47p src/kiss/server/json_printer.pygrep -n "def _coalesce_events" src/kiss/server/json_printer.py; sed -n "$(($(grep -n 'def _coalesce_events' src/kiss/server/json_printer.py | cut -d: -f1)+27)),+12p" src/kiss/server/json_printer.pyNow wire the helper into server.py (3 sites) and web_server.py (share):
grep -n "from kiss.server.json_printer import\|from kiss.agents.sorcar.persistence import _load_all" src/kiss/server/web_server.py | head -4Now the webview. First chat.html:
Now main.css:
sed -n 4437,4470p src/kiss/agents/vscode/media/main.js; sed -n 470,480p src/kiss/agents/vscode/media/main.jsmain.js implementation continuing (steps 91-99). Since last summary:
makeTab gains taskSettings: null; saveCurrentTab stores tab.taskSettings = currentTaskSettings; tab-restore block sets currentTaskSettings = tab.taskSettings || null + renderTaskPanelInfo(...).const taskPanelInfo = document.getElementById('task-panel-info') beside the other panel consts.setTaskText, wrapped in taskinfo-coverage markers): taskPanelInfoHTML(s) (line 1: workDir • model • wt/no-wt • parallel/sequential • budget $X • started <date>; line 2: chat <id> • task <id> • parent <id> • subagent, escaped, .task-panel-info-line spans), renderTaskPanelInfo(s), setTaskSettings(s).case 'task_settings' to handleOutputEvent: stores taskSettingsById[sid]; ownerTabId === undefined (live active) → setTaskSettings(s); ownerTabId === activeTabId (replay) → panel only when sid === String(currentTaskId); else stores on the owner tab.'task_settings' to TASK_SCOPED_STREAM_TYPES.updateVisibleTask now renders the neighbour's settings from taskSettingsById[container.dataset.taskId] or the tab's own; scrollChatToTask reclaim branch re-renders own settings.Remaining: case 'setTaskText' clears settings; case 'task_events' clears before replayTaskEvents; share export (shareTaskPanel/shareTaskSection/buildShareableHtml + settings extraction from events); then Python + JSDOM tests; lint (uv run check --full); gpt-5.6-sol read-only review ≤50% budget.
grep -n "function esc(" src/kiss/agents/vscode/media/main.js | head -2; grep -n "function fmtN" src/kiss/agents/vscode/media/main.js | head -2All production code implemented (steps 100-120). Since last summary:
case 'setTaskText' now calls setTaskSettings(null) before setTaskText; case 'task_events' calls setTaskSettings(null) before replayTaskEvents; share export updated — shareTaskPanel(taskText, seq, settings) fills the cloned #task-panel-info via taskPanelInfoHTML, shareTaskSection(..., settings), new taskSettingsFromEvents(events), buildShareableHtml extracts per-task settings (live task falls back to currentTaskSettings), untitled-live fallback passes currentTaskSettings.node --check media/main.js OK; all modified Python modules import OK; share.js only toggles drawer-collapsed (CSS handles info visibility); streamBegin routes unknown event types to the container with no side effects; live stamped events (tabId+taskId) pass the webview's routing and even trigger task-id adoption for task_settings.shareChat.test.js gives the JSDOM pattern (tabIdOf(posted), runSmallTask, share flow); drawerPanels.coverage.js gives the V8-coverage gate pattern over // xxx-coverage:start/end marked regions (my new main.js regions use taskinfo-coverage markers); Python e2e harness kiss.tests.core.test_budget_enforcement_e2e (_start_server, _tool_call_response, _CHEAP) drives real agents over local HTTP with model_name="gpt-4o-mini", model_config={"base_url": url, "api_key": "test-key"}; DB redirect pattern from test_stateful_sorcar_agent.py.Next: write src/kiss/tests/agents/sorcar/test_task_settings_info.py (system prompt via captured HTTP request; task_settings event persisted via JsonPrinter+DB; with_task_settings_event synthesis incl. legacy/subagent/corrupt-extra; max_budget column round-trip + old-DB migration), then JS tests taskPanelSettingsInfo.test.js + .coverage.js, run tests, uv run check --full, then gpt-5.6-sol review (read-only, ≤50% budget, no invented problems).
Now the share export changes:
grep -n "task-panel" src/kiss/agents/vscode/media/remote-codex.css src/kiss/agents/vscode/media/share.js | head -20cd src/kiss/agents/vscode && node --check media/main.js && echo MAINJS_OK; python -c "import ast;ast.parse(open('/Users/ksen/work/kiss/src/kiss/agents/sorcar/chat_sorcar_agent.py').read());ast.parse(open('/Users/ksen/work/kiss/src/kiss/agents/sorcar/relentless_agent.py').read());ast.parse(open('/Users/ksen/work/kiss/src/kiss/agents/sorcar/persistence.py').read());ast.parse(open('/Users/ksen/work/kiss/src/kiss/server/json_printer.py').read());ast.parse(open('/Users/ksen/work/kiss/src/kiss/server/server.py').read());ast.parse(open('/Users/ksen/work/kiss/src/kiss/server/web_server.py').read());ast.parse(open('/Users/ksen/work/kiss/src/kiss/agents/sorcar/sorcar_agent.py').read());print('PY_OK')"cd /Users/ksen/work/kiss && uv run python -c "
import kiss.agents.sorcar.chat_sorcar_agent, kiss.agents.sorcar.relentless_agent, kiss.agents.sorcar.persistence, kiss.server.json_printer, kiss.server.server, kiss.server.web_server, kiss.agents.sorcar.sorcar_agent
print('IMPORT_OK')"grep -n "system_prompt" src/kiss/core/kiss_agent.py | head; grep -rn "type=\"system_prompt\"\|type='system_prompt'" src/kiss/core/*.py | headgrep -rln "ChatSorcarAgent(" src/kiss/tests | head; sed -n 205,270p src/kiss/core/kiss_agent.pysed -n 1,80p src/kiss/tests/agents/sorcar/test_stateful_sorcar_agent.pysed -n 1,70p src/kiss/tests/agents/sorcar/test_budget_enforcement_e2e.py; grep -rn "kiss-test\|scripted\|FakeLLM\|fake_model" src/kiss/core/models/*.py | headgrep -n "_start_server\|base_url\|api_base\|model_config\|OPENAI_BASE_URL\|def _run_agent\|model_name=" src/kiss/tests/core/test_budget_enforcement_e2e.py | head -30; sed -n "$(grep -n 'def _start_server' src/kiss/tests/core/test_budget_enforcement_e2e.py | cut -d: -f1),+25p" src/kiss/tests/core/test_budget_enforcement_e2e.pysed -n 60,130p src/kiss/agents/vscode/test/actionProgressRendered.test.js; grep -n "run-all" src/kiss/agents/vscode/test/run-all.js | head -2; sed -n 1,40p src/kiss/agents/vscode/test/run-all.jsls src/kiss/agents/vscode/test/*.coverage.js | head; grep -rn "coverage:start" src/kiss/agents/vscode/test/*.js | head -5; grep -n "_testApi" src/kiss/agents/vscode/media/main.js | head -3; sed -n "$(grep -n '_testApi' src/kiss/agents/vscode/media/main.js | head -1 | cut -d: -f1),+40p" src/kiss/agents/vscode/media/main.jssed -n 1,120p src/kiss/agents/vscode/test/drawerPanels.coverage.jsls src/kiss/agents/vscode/test | grep -i share; grep -n "sourceURL" src/kiss/agents/vscode/test/drawerPanels.test.js src/kiss/agents/vscode/test/adjacentTaskScroll.test.js | headsed -n 1,150p src/kiss/agents/vscode/test/shareChat.test.jssed -n "$(grep -n 'function streamBegin' src/kiss/agents/vscode/media/main.js | cut -d: -f1),+45p" src/kiss/agents/vscode/media/main.jssed -n "$(grep -n 'def _tool_call_response' src/kiss/tests/core/test_budget_enforcement_e2e.py | cut -d: -f1),+40p" src/kiss/tests/core/test_budget_enforcement_e2e.py; grep -n "def finish" src/kiss/core/utils.py; sed -n "$(grep -n 'def finish' src/kiss/core/utils.py | cut -d: -f1),+12p" src/kiss/core/utils.pygrep -n "def __init__" src/kiss/server/json_printer.py | head -3; sed -n "$(grep -n 'class JsonPrinter' src/kiss/server/json_printer.py | cut -d: -f1),+40p" src/kiss/server/json_printer.py | sed -n 1,45p; grep -n "def _events_session_dict" -A 20 src/kiss/agents/sorcar/persistence.py | sed -n 1,24pTests written and passing (steps 121-142):
src/kiss/tests/agents/sorcar/test_task_settings_info.py — 10 tests, all pass in 1.8s: real e2e system-prompt test (ChatSorcarAgent run against local OpenAI-compatible HTTP server, asserting # Task Settings with Model/Budget/Starting time/Parallel/Worktree/Chat id/Task id/Is subagent in the captured request), subagent hook parentage, base RelentlessAgent/SorcarAgent hooks, persisted task_settings event via real JsonPrinter+sqlite (asserting full settings payload + with_task_settings_event idempotence), synthesis from legacy row extra (incl. subagent/parent, zero-budget omission, degenerate/corrupt sessions), max_budget column round-trip + old-DB auto-migration test.src/kiss/agents/vscode/test/taskPanelSettingsInfo.test.js — 9 JSDOM e2e tests, all pass: live event paints info; malformed/idless events; new submit clears; replay repopulates/clears; adjacent replay doesn't steal panel but scrolling onto neighbour shows its settings; legacy neighbour empty; background tab settings restore on switch; share export gives each synthesized panel its own settings (old task from events, live task from panel fallback); markup/CSS assertions. Added explicit process.exit (webview timers keep node alive — matches repo convention).taskPanelSettingsInfo.coverage.js — V8-coverage gate over the taskinfo-coverage regions: 100% line coverage (124/124) after adding the idless-settings test.Next: run remaining impacted Python suites (stateful agent, replay/server, persistence bughunts), then uv run check --full, update PROGRESS.md, then gpt-5.6-sol read-only review (≤50% budget, instructed not to invent problems), fix findings, finish.
# Author: Koushik Sen (ksen@berkeley.edu)
# Contributors:
# Koushik Sen (ksen@berkeley.edu)
# add your name here
"""E2E tests for the task-settings info feature.
Covers the three surfaces the settings reach:
* the system prompt's ``# Task Settings`` section (asserted on the raw
HTTP request a real ``ChatSorcarAgent`` run sends to a local
OpenAI-compatible server — no mocks),
* the persisted ``task_settings`` display event (broadcast by
``ChatSorcarAgent.run`` through a real ``JsonPrinter`` and read back
from the real sqlite events table), and
* the replay-side synthesis helper ``with_task_settings_event`` plus
the new ``max_budget`` task-history column it reads.
"""
from __future__ import annotations
import json
import shutil
import sqlite3
import tempfile
from http.server import BaseHTTPRequestHandler
from pathlib import Path
import kiss.agents.sorcar.persistence as th
from kiss.agents.sorcar.chat_sorcar_agent import ChatSorcarAgent
from kiss.agents.sorcar.persistence import (
_add_task,
_append_chat_event,
_load_chat_events_by_task_id,
_save_task_extra,
)
from kiss.agents.sorcar.relentless_agent import RelentlessAgent
from kiss.agents.sorcar.sorcar_agent import SorcarAgent
from kiss.server import agent_state
from kiss.server.json_printer import (
JsonPrinter,
_task_settings_event_from_session,
with_task_settings_event,
)
from kiss.tests.core.test_budget_enforcement_e2e import (
_CHEAP,
_read_body,
_send_json,
_start_server,
_tool_call_response,
)
PARENT_ID = "a" * 32
class _FinishHandler(BaseHTTPRequestHandler):
"""Replies with a cheap ``finish`` call; captures request bodies."""
bodies: list[str] = []
def do_POST(self) -> None: # noqa: N802
type(self).bodies.append(_read_body(self))
_send_json(
self,
_tool_call_response(
"finish",
json.dumps({
"success": True,
"is_continue": False,
"summary_in_html": "<p>done</p>",
}),
*_CHEAP,
),
)
def log_message(self, format: str, *args: object) -> None: # noqa: A002
pass
class _DBRedirect:
"""Shared setup/teardown redirecting the sqlite DB to a temp dir."""
def setup_method(self) -> None:
self.tmpdir = tempfile.mkdtemp()
kiss_dir = Path(self.tmpdir) / ".kiss"
kiss_dir.mkdir(parents=True, exist_ok=True)
self.saved = (th._DB_PATH, th._db_conn, th._KISS_DIR)
th._KISS_DIR = kiss_dir
th._DB_PATH = kiss_dir / "sorcar.db"
th._db_conn = None
def teardown_method(self) -> None:
if th._db_conn is not None:
th._db_conn.close()
th._db_conn = None
(th._DB_PATH, th._db_conn, th._KISS_DIR) = self.saved
shutil.rmtree(self.tmpdir, ignore_errors=True)
class TestSystemPromptTaskSettings(_DBRedirect):
"""The system prompt carries every requested setting."""
def test_run_sends_task_settings_section_to_model(self) -> None:
"""A real run's system prompt names all task settings."""
_FinishHandler.bodies = []
srv, url = _start_server(_FinishHandler)
try:
agent = ChatSorcarAgent("settings-e2e")
result = agent.run(
prompt_template="say hi",
model_name="gpt-4o-mini",
work_dir=self.tmpdir,
max_budget=3.5,
max_steps=3,
web_tools=False,
is_parallel=False,
append_basic_tools=False,
verbose=False,
model_config={"base_url": url, "api_key": "test-key"},
)
finally:
srv.shutdown()
assert "success: true" in result.lower()
assert _FinishHandler.bodies, "the model server saw no request"
body = _FinishHandler.bodies[0]
assert "# Task Settings" in body
assert "- Model name: gpt-4o-mini" in body
assert "- Max budget (USD): $3.50" in body
assert "- Starting time: " in body
assert "- Parallel mode: sequential" in body
assert "- Worktree mode: no worktree" in body
assert f"- Chat id: {agent.chat_id}" in body
assert f"- Task id: {agent.last_task_id}" in body
assert "- Is subagent: no" in body
assert "- Parent task id:" not in body
def test_subagent_hook_reports_parentage(self) -> None:
"""A sub-agent's settings name its parent task id."""
agent = ChatSorcarAgent("sub")
agent._reset(model_name="m1", max_budget=2.0)
agent._is_parallel = True
agent._run_is_worktree = True
agent._chat_id = "c" * 32
agent._last_task_id = "b" * 32
agent._subagent_info = {"parent_task_id": PARENT_ID}
section = agent._task_settings_section()
assert "- Model name: m1" in section
assert "- Max budget (USD): $2.00" in section
assert "- Parallel mode: parallel" in section
assert "- Worktree mode: worktree" in section
assert f"- Chat id: {'c' * 32}" in section
assert f"- Task id: {'b' * 32}" in section
assert "- Is subagent: yes" in section
assert f"- Parent task id: {PARENT_ID}" in section
def test_base_agents_report_model_budget_and_time(self) -> None:
"""RelentlessAgent / SorcarAgent report their own settings."""
base = RelentlessAgent("base")
base._reset(None, None, None, 7.25, self.tmpdir, None)
section = base._task_settings_section()
assert "# Task Settings" in section
assert "- Model name: claude-opus-4-6" in section
assert "- Max budget (USD): $7.25" in section
assert "- Starting time: " in section
assert "Parallel mode" not in section
sorcar = SorcarAgent("sorcar")
sorcar._reset(model_name="m2", max_budget=1.0)
sorcar._is_parallel = False
section = sorcar._task_settings_section()
assert "- Parallel mode: sequential" in section
assert "Worktree mode" not in section
class TestTaskSettingsEventPersisted(_DBRedirect):
"""The live run broadcasts and persists a ``task_settings`` event."""
def test_run_persists_task_settings_event(self) -> None:
"""A run with a JsonPrinter leaves the event in the DB."""
_FinishHandler.bodies = []
srv, url = _start_server(_FinishHandler)
printer = JsonPrinter()
agent = ChatSorcarAgent("settings-ev")
try:
agent.run(
prompt_template="say hi",
model_name="gpt-4o-mini",
work_dir=self.tmpdir,
max_budget=3.5,
max_steps=3,
web_tools=False,
is_parallel=True,
append_basic_tools=False,
verbose=False,
printer=printer,
model_config={"base_url": url, "api_key": "test-key"},
)
finally:
srv.shutdown()
agent_state.remove(agent.last_task_id)
session = _load_chat_events_by_task_id(agent.last_task_id)
assert session is not None
events = [
e for e in session["events"] if e.get("type") == "task_settings"
]
assert len(events) == 1
settings = events[0]["settings"]
assert settings["model"] == "gpt-4o-mini"
assert settings["work_dir"] == self.tmpdir
assert settings["is_parallel"] is True
assert settings["is_worktree"] is False
assert settings["max_budget"] == 3.5
assert settings["chat_id"] == agent.chat_id
assert settings["task_id"] == agent.last_task_id
assert settings["is_subagent"] is False
assert "parent_task_id" not in settings
assert settings["start_ts"] > 0
# A stream that already carries the event is left unchanged.
assert (
with_task_settings_event(session["events"], session)
is session["events"]
)
class TestWithTaskSettingsSynthesis(_DBRedirect):
"""Legacy rows without the event get one synthesized from the row."""
def test_synthesizes_from_row_extra(self) -> None:
task_id, chat_id = _add_task(
"old task",
extra={
"model": "m3",
"work_dir": "/w",
"is_parallel": True,
"is_worktree": True,
"max_budget": 4.25,
"startTs": 1234,
"subagent": {"parent_task_id": PARENT_ID},
},
)
_append_chat_event({"type": "prompt", "text": "old"}, task_id=task_id)
session = _load_chat_events_by_task_id(task_id)
assert session is not None
events = with_task_settings_event(session["events"], session)
assert events[0]["type"] == "task_settings"
assert events[0]["taskId"] == task_id
assert events[1]["type"] == "prompt"
s = events[0]["settings"]
assert s == {
"model": "m3",
"work_dir": "/w",
"is_parallel": True,
"is_worktree": True,
"chat_id": chat_id,
"task_id": task_id,
"start_ts": 1234,
"max_budget": 4.25,
"is_subagent": True,
"parent_task_id": PARENT_ID,
}
def test_zero_budget_and_start_ts_are_omitted(self) -> None:
task_id, chat_id = _add_task("plain", extra={"model": "m4"})
session = _load_chat_events_by_task_id(task_id)
assert session is not None
events = with_task_settings_event(list(session["events"]), session)
s = events[0]["settings"]
assert "max_budget" not in s
assert "start_ts" not in s
assert s["is_subagent"] is False
assert "parent_task_id" not in s
assert s["chat_id"] == chat_id
def test_degenerate_sessions_return_events_unchanged(self) -> None:
events: list[dict[str, object]] = [{"type": "prompt", "text": "x"}]
assert with_task_settings_event(events, {}) is events
assert (
with_task_settings_event(events, {"task_id": "t1", "extra": ""})
is events
)
assert (
with_task_settings_event(
events, {"task_id": "t1", "extra": "not json"},
)
is events
)
assert (
with_task_settings_event(
events, {"task_id": "t1", "extra": "[1, 2]"},
)
is events
)
assert (
_task_settings_event_from_session({"task_id": "t1", "extra": 7})
is None
)
def test_corrupt_numeric_fields_are_dropped(self) -> None:
"""Hand-edited Infinity/garbage numbers must not raise."""
session = {
"task_id": "t2",
"chat_id": "c2",
"extra": json.dumps({
"model": "m5",
"startTs": "garbage",
"max_budget": "garbage",
}),
}
event = _task_settings_event_from_session(session)
assert event is not None
assert "start_ts" not in event["settings"]
assert "max_budget" not in event["settings"]
class TestMaxBudgetColumn(_DBRedirect):
"""The new ``max_budget`` task-history column round-trips."""
def test_add_task_and_save_extra_roundtrip(self) -> None:
task_id, _ = _add_task("t", extra={"max_budget": 12.5})
session = _load_chat_events_by_task_id(task_id)
assert session is not None
assert json.loads(session["extra"])["max_budget"] == 12.5
_save_task_extra({"max_budget": 7.25}, task_id=task_id)
session = _load_chat_events_by_task_id(task_id)
assert session is not None
assert json.loads(session["extra"])["max_budget"] == 7.25
def test_old_database_gains_the_column(self) -> None:
"""A pre-max_budget DB is extended on first connect."""
conn = sqlite3.connect(th._DB_PATH)
conn.executescript("""
CREATE TABLE task_history (
id TEXT PRIMARY KEY,
timestamp REAL NOT NULL,
task TEXT NOT NULL,
has_events INTEGER DEFAULT 0,
result TEXT DEFAULT '',
chat_id CHAR(32) DEFAULT '',
model TEXT DEFAULT '',
work_dir TEXT DEFAULT '',
version TEXT DEFAULT '',
tokens INTEGER DEFAULT 0,
cost REAL DEFAULT 0.0,
steps INTEGER DEFAULT 0,
is_parallel INTEGER DEFAULT 1,
is_worktree INTEGER DEFAULT 1,
auto_commit_mode INTEGER DEFAULT 1,
start_ts INTEGER DEFAULT 0,
end_ts INTEGER DEFAULT 0,
is_favorite INTEGER DEFAULT 0,
parent_task_id TEXT DEFAULT '',
owner TEXT DEFAULT ''
);
""")
conn.commit()
conn.close()
task_id, _ = _add_task("migrated", extra={"max_budget": 1.5})
session = _load_chat_events_by_task_id(task_id)
assert session is not None
assert json.loads(session["extra"])["max_budget"] == 1.5
grep -n "def " src/kiss/server/agent_state.py | head; sed -n "$(grep -n 'def _reset' src/kiss/agents/sorcar/sorcar_agent.py | cut -d: -f1),+18p" src/kiss/agents/sorcar/sorcar_agent.py; grep -n "_flush_chat_events" src/kiss/agents/sorcar/persistence.py | sed -n 1,12p; grep -n "def agent_task_finished" -A 25 src/kiss/server/json_printer.py | sed -n 1,30psed -n 2415,2450p src/kiss/agents/sorcar/persistence.py; sed -n 2500,2560p src/kiss/agents/sorcar/persistence.py | grep -n "def \|_flush" cd /Users/ksen/work/kiss && timeout 300 uv run pytest src/kiss/tests/agents/sorcar/test_task_settings_info.py -x -q 2>&1 | tail -30sed -n 60,200p src/kiss/agents/vscode/test/adjacentTaskScroll.test.jssed -n 150,230p src/kiss/agents/vscode/test/shareChat.test.js// Author: Koushik Sen (ksen@berkeley.edu)
// Contributors:
// Koushik Sen (ksen@berkeley.edu)
// add your name here
//
// End-to-end tests for the static task panel's settings info block
// (#task-panel-info in media/chat.html, rendered by media/main.js):
//
// * a live task's `task_settings` event paints the info block with the
// same fields the history sidebar shows (model, wt/no-wt,
// parallel/sequential, budget, start time, chat/task/parent ids),
// * a new submit clears the previous task's info until the new task's
// settings arrive,
// * session replays (`task_events`) repopulate the block from the
// replayed stream's own task_settings event,
// * a spliced-in adjacent task's replay must NOT repaint the panel of
// the task on screen, but scrolling onto the neighbour shows ITS
// settings,
// * a background tab's task_settings land on that tab and show after a
// switch, and
// * the share export gives every synthesized task panel its OWN task's
// settings info.
'use strict';
const assert = require('assert');
const fs = require('fs');
const path = require('path');
const {JSDOM} = require('jsdom');
const MEDIA = path.join(__dirname, '..', 'media');
let passed = 0;
const failures = [];
function test(name, fn) {
try {
fn();
passed++;
console.log(` \u2713 ${name}`);
} catch (e) {
failures.push({name, error: e});
console.log(` \u2717 ${name}`);
console.log(` ${e.stack || e.message}`);
}
}
function makeWebview() {
let html = fs.readFileSync(path.join(MEDIA, 'chat.html'), 'utf8');
html = html.replace(/\{\{MODEL_NAME\}\}/g, 'test-model');
html = html.replace(/\{\{[A-Z_]+\}\}/g, '');
html = html.replace(/<script[^>]*>[\s\S]*?<\/script>/g, '');
const dom = new JSDOM(html, {
runScripts: 'dangerously',
pretendToBeVisual: true,
url: 'https://localhost/',
});
const win = dom.window;
win.Element.prototype.scrollIntoView = function () {};
win.Element.prototype.scrollTo = function () {};
win.HTMLElement.prototype.scrollTo = function () {};
win.requestAnimationFrame = function (cb) {
cb();
return 0;
};
win.cancelAnimationFrame = function () {};
const posted = [];
win.acquireVsCodeApi = function () {
let state;
return {
postMessage: msg => posted.push(msg),
getState: () => state,
setState: s => {
state = s;
},
};
};
win.eval(fs.readFileSync(path.join(MEDIA, 'panelCopy.js'), 'utf8'));
win.eval(fs.readFileSync(path.join(MEDIA, 'api.js'), 'utf8'));
win.eval(
fs.readFileSync(path.join(MEDIA, 'main.js'), 'utf8') +
'\n//# sourceURL=taskinfo-main.js',
);
return {win, posted};
}
function send(win, data) {
win.dispatchEvent(new win.MessageEvent('message', {data}));
}
function tabIdOf(wv) {
const ready = wv.posted.find(m => m.type === 'ready');
assert.ok(ready && ready.tabId, 'webview must post ready with a tabId');
return ready.tabId;
}
function click(el) {
el.dispatchEvent(
new el.ownerDocument.defaultView.MouseEvent('click', {
bubbles: true,
cancelable: true,
}),
);
}
function clickTab(win, tabId) {
const el = win.document.querySelector(
`.chat-tab[data-tab-id=${JSON.stringify(tabId)}]`,
);
assert.ok(el, `tab ${tabId} must exist in the tab bar`);
el.dispatchEvent(new win.MouseEvent('click', {bubbles: true}));
}
function infoText(win) {
return win.document.getElementById('task-panel-info').textContent;
}
const SETTINGS = {
model: 'model-x',
work_dir: '/repo',
is_worktree: true,
is_parallel: true,
max_budget: 5,
start_ts: Date.UTC(2026, 1, 3, 4, 5),
chat_id: 'chat-abc',
task_id: 'task-1',
is_subagent: false,
};
test('live task_settings paints the info block; new submit clears it', () => {
const wv = makeWebview();
const win = wv.win;
const TAB = tabIdOf(wv);
send(win, {type: 'setTaskText', text: 'do the thing', tabId: TAB});
assert.strictEqual(infoText(win), '', 'no settings known yet');
send(win, {
type: 'task_settings',
settings: SETTINGS,
tabId: TAB,
taskId: 'task-1',
});
const txt = infoText(win);
assert.ok(txt.includes('/repo'), 'work dir shown: ' + txt);
assert.ok(txt.includes('model-x'), 'model shown');
assert.ok(txt.includes('wt'), 'worktree mode shown');
assert.ok(txt.includes('parallel'), 'parallel mode shown');
assert.ok(txt.includes('budget $5.00'), 'budget shown: ' + txt);
assert.ok(txt.includes('started '), 'start time shown');
assert.ok(txt.includes('chat chat-abc'), 'chat id shown');
assert.ok(txt.includes('task task-1'), 'task id shown');
assert.ok(!txt.includes('parent'), 'no parent for a top-level task');
assert.ok(!txt.includes('subagent'), 'not a subagent');
// A malformed event (no settings) must change nothing.
send(win, {type: 'task_settings', tabId: TAB, taskId: 'task-1'});
assert.strictEqual(infoText(win), txt);
// The next submit names a task whose settings are unknown.
send(win, {type: 'setTaskText', text: 'next thing', tabId: TAB});
assert.strictEqual(infoText(win), '', 'new submit clears the info block');
});
test('subagent settings show no-wt, sequential and parentage', () => {
const wv = makeWebview();
const win = wv.win;
const TAB = tabIdOf(wv);
send(win, {type: 'setTaskText', text: 'sub work', tabId: TAB});
send(win, {
type: 'task_settings',
settings: {
model: 'model-y',
is_worktree: false,
is_parallel: false,
chat_id: 'chat-abc',
task_id: 'task-2',
is_subagent: true,
parent_task_id: 'task-1',
},
tabId: TAB,
taskId: 'task-2',
});
const txt = infoText(win);
assert.ok(txt.includes('no-wt'), 'no-wt shown: ' + txt);
assert.ok(txt.includes('sequential'), 'sequential shown');
assert.ok(!txt.includes('budget'), 'unknown budget omitted');
assert.ok(!txt.includes('started'), 'unknown start time omitted');
assert.ok(txt.includes('parent task-1'), 'parent shown');
assert.ok(txt.includes('subagent'), 'subagent marker shown');
});
test('task_events replay repopulates the info from its own stream', () => {
const wv = makeWebview();
const win = wv.win;
const TAB = tabIdOf(wv);
send(win, {
type: 'task_events',
tabId: TAB,
chat_id: 'chat-abc',
task_id: 'task-1',
task: 'old task',
events: [
{type: 'task_settings', settings: SETTINGS},
{type: 'system_output', text: 'hello\n'},
],
});
assert.ok(
infoText(win).includes('task task-1'),
'replayed settings must fill the info block: ' + infoText(win),
);
// A replay carrying no settings must not keep the previous task's.
send(win, {
type: 'task_events',
tabId: TAB,
chat_id: 'chat-abc',
task_id: 'task-9',
task: 'settings-less task',
events: [{type: 'system_output', text: 'x\n'}],
});
assert.strictEqual(
infoText(win),
'',
'a replay without settings clears the block',
);
});
test('adjacent replay never repaints the live panel; scrolling does', () => {
const wv = makeWebview();
const win = wv.win;
const TAB = tabIdOf(wv);
win._testApi.hideWelcome();
send(win, {
type: 'task_events',
tabId: TAB,
chat_id: 'chat-abc',
task_id: 'task-2',
task: 'live task',
events: [
{
type: 'task_settings',
settings: Object.assign({}, SETTINGS, {
task_id: 'task-2',
model: 'live-model',
}),
},
{type: 'system_output', text: 'live\n'},
],
});
assert.ok(infoText(win).includes('live-model'));
// A NEXT neighbour first: with everything at zero geometry the
// visible-region scan keeps electing the first region (the tab's own
// task), covering the "own settings" arm of updateVisibleTask.
send(win, {
type: 'adjacent_task_events',
tabId: TAB,
direction: 'next',
task: 'newer neighbour',
task_id: 'task-3',
events: [{type: 'system_output', text: 'newer\n'}],
});
assert.ok(
infoText(win).includes('live-model'),
'a spliced-in neighbour must not steal the live panel info',
);
// A PREV neighbour becomes the first region, so the panel is lent to
// it — with settings when its stream carries them.
send(win, {
type: 'adjacent_task_events',
tabId: TAB,
direction: 'prev',
task: 'older neighbour',
task_id: 'task-1',
events: [
{
type: 'task_settings',
settings: Object.assign({}, SETTINGS, {model: 'old-model'}),
},
{type: 'system_output', text: 'older\n'},
],
});
assert.ok(
infoText(win).includes('old-model'),
'parking on the neighbour shows ITS settings: ' + infoText(win),
);
});
test('a neighbour without settings shows an empty info block', () => {
const wv = makeWebview();
const win = wv.win;
const TAB = tabIdOf(wv);
win._testApi.hideWelcome();
send(win, {
type: 'task_events',
tabId: TAB,
chat_id: 'chat-abc',
task_id: 'task-2',
task: 'live task',
events: [
{type: 'task_settings', settings: SETTINGS},
{type: 'system_output', text: 'live\n'},
],
});
send(win, {
type: 'adjacent_task_events',
tabId: TAB,
direction: 'prev',
task: 'legacy neighbour',
task_id: 'task-0',
events: [{type: 'system_output', text: 'legacy\n'}],
});
assert.strictEqual(
infoText(win),
'',
'a legacy neighbour with no known settings shows no info',
);
});
test('a background tab keeps its settings and shows them on switch', () => {
const wv = makeWebview();
const win = wv.win;
const TAB = tabIdOf(wv);
send(win, {type: 'setTaskText', text: 'first task', tabId: TAB});
send(win, {
type: 'task_settings',
settings: SETTINGS,
tabId: TAB,
taskId: 'task-1',
});
const SECOND = win._testApi.createNewTab();
assert.notStrictEqual(win._testApi.getActiveTabId(), TAB);
assert.strictEqual(infoText(win), '', 'a fresh tab has no settings');
// A live event for the now-background first tab.
send(win, {
type: 'task_settings',
settings: Object.assign({}, SETTINGS, {model: 'bg-model'}),
tabId: TAB,
taskId: 'task-1',
});
assert.strictEqual(
infoText(win),
'',
'a background tab event must not repaint the visible panel',
);
clickTab(win, TAB);
assert.ok(
infoText(win).includes('bg-model'),
'switching back shows the settings the tab received: ' + infoText(win),
);
clickTab(win, String(SECOND || win._testApi.getActiveTabId()));
});
test('share export gives every task panel its own settings info', () => {
const wv = makeWebview();
const win = wv.win;
const TAB = tabIdOf(wv);
const now = Date.now();
send(win, {type: 'clear', chat_id: 'chat-777', tabId: TAB});
send(win, {type: 'status', running: true, tabId: TAB, startTs: now});
send(win, {type: 'setTaskText', text: 'live task', tabId: TAB});
send(win, {
type: 'task_settings',
settings: Object.assign({}, SETTINGS, {
task_id: 'task-b',
model: 'live-model',
}),
tabId: TAB,
taskId: 'task-b',
});
send(win, {
type: 'system_output',
text: 'live output\n',
tabId: TAB,
taskId: 'task-b',
ts: now,
});
click(win.document.getElementById('share-btn'));
const req = wv.posted.filter(m => m.type === 'shareChatTasks').pop();
assert.ok(req, 'share click must request the chat tasks');
send(win, {
type: 'share_tasks',
tabId: req.tabId,
chatId: req.chatId,
truncated: false,
tasks: [
{
task: 'old task',
task_id: 'task-a',
events: [
{
type: 'task_settings',
settings: Object.assign({}, SETTINGS, {
task_id: 'task-a',
model: 'old-model',
}),
},
{type: 'system_output', text: 'old output\n'},
],
},
// The live task, listed WITHOUT its settings event: the export
// must fall back to the settings the live panel holds.
{task: 'live task', task_id: 'task-b', events: []},
],
});
const msg = wv.posted.filter(m => m.type === 'shareChat').pop();
assert.ok(msg, 'the share_tasks reply must produce a shareChat command');
const dom = new JSDOM('<div id="app">' + msg.html + '</div>');
const infos = Array.from(
dom.window.document.querySelectorAll('#task-panel-info'),
).map(el => el.textContent);
assert.strictEqual(infos.length, 2, 'one info block per task panel');
assert.ok(
infos[0].includes('old-model') && infos[0].includes('task task-a'),
'first section shows the OLD task settings: ' + infos[0],
);
assert.ok(
infos[1].includes('live-model') && infos[1].includes('task task-b'),
'second section shows the LIVE task settings: ' + infos[1],
);
});
test('drawer markup: the info block lives inside the task panel', () => {
const wv = makeWebview();
const doc = wv.win.document;
const info = doc.getElementById('task-panel-info');
assert.ok(info, '#task-panel-info must exist');
assert.strictEqual(
info.parentElement,
doc.getElementById('task-panel'),
'the info block is a direct child of the panel',
);
const css = fs.readFileSync(path.join(MEDIA, 'main.css'), 'utf8');
assert.ok(
/#task-panel-info:empty,\s*#task-panel\.drawer-collapsed #task-panel-info\s*\{\s*display:\s*none;/.test(
css,
),
'the info block hides when empty or when the drawer is collapsed',
);
});
console.log(`\n${passed} passed, ${failures.length} failed`);
if (failures.length) process.exit(1);
cd /Users/ksen/work/kiss/src/kiss/agents/vscode && node test/taskPanelSettingsInfo.test.js 2>&1 | tail -25cd /Users/ksen/work/kiss/src/kiss/agents/vscode && timeout 60 node test/taskPanelSettingsInfo.test.js > /tmp/taskinfo-test.log 2>&1 < /dev/null; echo "exit=$?"; tail -30 /tmp/taskinfo-test.logtail -12 /Users/ksen/work/kiss/src/kiss/agents/vscode/test/shareChat.test.jssed -n 120,160p /Users/ksen/work/kiss/src/kiss/agents/vscode/test/drawerPanels.coverage.jscd /Users/ksen/work/kiss/src/kiss/agents/vscode/test && sed -e "s/drawer-coverage/taskinfo-coverage/g" -e "s/drawerPanels.test.js/taskPanelSettingsInfo.test.js/" -e "s/drawer-main.js/taskinfo-main.js/" -e "s/DRAWER LINES/TASKINFO LINES/" -e "s/drawer feature/task-settings info feature/g" -e "s/'expected the two drawer regions'/'expected the taskinfo regions'/" -e "s/regions.length >= 2/regions.length >= 3/" drawerPanels.coverage.js > taskPanelSettingsInfo.coverage.js && grep -n "taskinfo\|regions.length" taskPanelSettingsInfo.coverage.js | headcd /Users/ksen/work/kiss/src/kiss/agents/vscode && timeout 120 node test/taskPanelSettingsInfo.coverage.js > /tmp/taskinfo-cov.log 2>&1 < /dev/null; echo "exit=$?"; tail -30 /tmp/taskinfo-cov.logcd /Users/ksen/work/kiss/src/kiss/agents/vscode && timeout 120 node test/taskPanelSettingsInfo.coverage.js > /tmp/taskinfo-cov.log 2>&1 < /dev/null; echo "exit=$?"; tail -6 /tmp/taskinfo-cov.logcd /Users/ksen/work/kiss/src/kiss/agents/vscode/test && grep -ln "visibletask-coverage" *.js; grep -ln "tableak-coverage" *.js; grep -ln "taskwheel-coverage" *.js; grep -ln "autoscroll-coverage" *.js; grep -ln "chevron-coverage" *.js; grep -ln "share-coverage" *.js; grep -ln "launchswitch" *.js | head -3cd /Users/ksen/work/kiss/src/kiss/agents/vscode && for f in staticTaskPanelVisibleTask crossTabTextLeak taskPanelWheelNav taskPanelExpandFullText drawerPanels shareChat; do timeout 180 node test/$f.coverage.js > /tmp/cov-$f.log 2>&1 < /dev/null; echo "$f exit=$?"; done; ls test | grep -i "shareChat.coverage" tail -40 /tmp/cov-shareChat.logcd /Users/ksen/work/kiss/src/kiss/agents/vscode && timeout 180 node test/shareChat.test.js > /tmp/cov-shareChatT.log 2>&1 < /dev/null; echo "shareChat.test exit=$?"; tail -5 /tmp/cov-shareChatT.log; timeout 180 node test/adjacentTaskScroll.test.js > /tmp/adjT.log 2>&1 < /dev/null; echo "adjacent exit=$?"; tail -3 /tmp/adjT.logImpacted-test sweep done (steps 143-168):
max_budget (test_persistence_inconsistencies, test_set_task_favorite, test_simplification_lockdown_persistence, test_persistence); _DISPLAY_EVENT_TYPES expected set gained task_settings (test_print_to_browser); replay expectations now assert a leading task_settings event (test_replay_event_coalescing — _assert_coalesced strips it, single-delta list, empty-trajectory adjacent now ["task_settings"]; test_share_chat events[0] type + command at index 1; test_history_scroll_to_task len 3 + index shift; test_full_branch_coverage len 3)._get_adjacent_task_by_chat_id (persistence.py) returned only {task, task_id, events} so adjacent replays could never synthesize settings; now selects via _HISTORY_SELECT and returns chat_id + extra (via _row_to_extra_json).State: production code + tests done; JS coverage gate 100%; JS suites green. Remaining: sanity-run a broader slice (impact groups already green except fixed ones — the only post-sweep production change was the adjacent loader, and its suites passed), update tmp/PROGRESS.md, run uv run check --full and fix issues in touched files, then dispatch gpt-5.6-sol read-only review (≤50% of budget, i.e. keep total under ~$500; spent ~$40 so far), fix real findings, finish.
cd /Users/ksen/work/kiss && grep -rln "task_events\|_add_task\|_DISPLAY_EVENT_TYPES\|_build_extra_payload\|_extra_for_replay\|_row_to_extra_json\|_HISTORY_SELECT\|share_tasks" src/kiss/tests --include=*.py | head -40cd /Users/ksen/work/kiss && ls src/kiss/tests; ls src/kiss/tests/server 2>/dev/null | head; grep -rln "task_events\|_extra_for_replay\|share_tasks\|_DISPLAY_EVENT" src/kiss/tests/agents/vscode src/kiss/tests/server --include=*.py 2>/dev/null | wc -lcd /Users/ksen/work/kiss && uv run python -c "import xdist; print('xdist available')" 2>&1 | tail -1cd /Users/ksen/work/kiss && grep -rln "task_events\|_add_task\|_DISPLAY_EVENT_TYPES\|_build_extra_payload\|_extra_for_replay\|_row_to_extra_json\|_HISTORY_SELECT\|share_tasks\|max_budget" src/kiss/tests/agents/sorcar src/kiss/tests/server src/kiss/tests/agents/vscode --include=*.py 2>/dev/null | sort > /tmp/impacted.txt; wc -l /tmp/impacted.txt; split -n l/8 /tmp/impacted.txt /tmp/impact_; wc -l /tmp/impact_a*cd /Users/ksen/work/kiss && awk 'NR%8==1' /tmp/impacted.txt > /tmp/impact_1; awk 'NR%8==2' /tmp/impacted.txt > /tmp/impact_2; awk 'NR%8==3' /tmp/impacted.txt > /tmp/impact_3; awk 'NR%8==4' /tmp/impacted.txt > /tmp/impact_4; awk 'NR%8==5' /tmp/impacted.txt > /tmp/impact_5; awk 'NR%8==6' /tmp/impacted.txt > /tmp/impact_6; awk 'NR%8==7' /tmp/impacted.txt > /tmp/impact_7; awk 'NR%8==0' /tmp/impacted.txt > /tmp/impact_8; wc -l /tmp/impact_?All 12 failures are expected shape changes from the feature (new max_budget extra key; leading task_settings replay event). Updating those tests:
cd /Users/ksen/work/kiss && grep -n "startTs" src/kiss/tests/agents/sorcar/test_persistence_inconsistencies.py | head -3; sed -n 160,180p src/kiss/tests/agents/sorcar/test_persistence_inconsistencies.py; grep -n "endTs\|startTs" src/kiss/tests/agents/sorcar/test_set_task_favorite.py src/kiss/tests/agents/sorcar/test_simplification_lockdown_persistence.py src/kiss/tests/agents/sorcar/test_persistence.py | headcd /Users/ksen/work/kiss && sed -n 140,152p src/kiss/tests/agents/sorcar/test_set_task_favorite.py; sed -n 200,225p src/kiss/tests/agents/sorcar/test_simplification_lockdown_persistence.py; sed -n 225,250p src/kiss/tests/agents/sorcar/test_persistence.pycd /Users/ksen/work/kiss && sed -n 40,75p src/kiss/tests/server/test_print_to_browser.py; grep -n "task_settings\|== \[\|assert types\|types ==" src/kiss/tests/server/test_replay_event_coalescing.py | head -20cd /Users/ksen/work/kiss && sed -n 85,120p src/kiss/tests/server/test_replay_event_coalescing.py; sed -n 195,300p src/kiss/tests/server/test_replay_event_coalescing.pycd /Users/ksen/work/kiss && grep -n "def \|_assert_coalesced\|_COALESCED_TYPES" src/kiss/tests/server/test_replay_event_coalescing.py | sed -n 1,30pcd /Users/ksen/work/kiss && sed -n 131,162p src/kiss/tests/server/test_replay_event_coalescing.pycd /Users/ksen/work/kiss && sed -n "$(grep -n 'def _get_adjacent_task_by_chat_id' src/kiss/agents/sorcar/persistence.py | cut -d: -f1),+75p" src/kiss/agents/sorcar/persistence.py | sed -n 30,80pcd /Users/ksen/work/kiss && sed -n 163,194p src/kiss/tests/server/test_replay_event_coalescing.pycd /Users/ksen/work/kiss && grep -n "events\[0\]\|command.*pwd\|task_settings" src/kiss/tests/server/test_share_chat.py | head; sed -n 500,530p src/kiss/tests/server/test_share_chat.pycd /Users/ksen/work/kiss && sed -n 310,330p src/kiss/tests/server/test_share_chat.pycd /Users/ksen/work/kiss && sed -n 95,120p src/kiss/tests/server/test_full_branch_coverage.py; grep -n "def test_replay_session_loads_specific_task" -A 40 src/kiss/tests/server/test_history_scroll_to_task.py | sed -n 1,45pcd /Users/ksen/work/kiss && grep -n "def test_replay_session_loads_specific_task" -A 60 src/kiss/tests/server/test_history_scroll_to_task.py | sed -n 45,65pcd /Users/ksen/work/kiss && timeout 900 uv run pytest -q src/kiss/tests/agents/sorcar/test_persistence_inconsistencies.py src/kiss/tests/agents/sorcar/test_set_task_favorite.py src/kiss/tests/agents/sorcar/test_simplification_lockdown_persistence.py src/kiss/tests/agents/sorcar/test_persistence.py src/kiss/tests/server/test_print_to_browser.py src/kiss/tests/server/test_replay_event_coalescing.py src/kiss/tests/server/test_share_chat.py src/kiss/tests/server/test_history_scroll_to_task.py src/kiss/tests/server/test_full_branch_coverage.py src/kiss/tests/agents/sorcar/test_adjacent_skips_subagent.py src/kiss/tests/agents/sorcar/test_bughunt_persist2_adjacent_ts_tie.py 2>&1 | tail -5cd /Users/ksen/work/kiss && timeout 600 uv run pytest -q src/kiss/tests/agents/sorcar/test_persistence_events_loaders.py src/kiss/tests/agents/sorcar/test_bughunt3_persist_ts_tie_task_lookup.py src/kiss/tests/agents/sorcar/test_task_settings_info.py 2>&1 | tail -3Review received and fixes implemented (steps 179-199). The gpt-5.6-sol review (dispatched via run_agent, ran sub-reviews) confirmed these defects, all now fixed:
case 'setTaskText' to case 'clear' in main.js (active tab setTaskSettings(null) + clearTab.taskSettings = null for background tabs).ChatSorcarAgent.run now builds one resolved snapshot (_resolve_model_name static extracted in SorcarAgent, DEFAULT_MAX_BUDGET = 200.0 constant in relentless_agent used by _reset, resolved_work_dir = Path(kwargs work_dir or '.').resolve()) used for early extra, the task_settings event, and the final save._task_has_transcript_events() in persistence.py (ignores the metadata event, scans first 3 rows); _persist_replay_events_if_missing uses it.case 'task_settings' now sets ownerTab.currentTaskId = sid / clears pendingTaskId (prevents share-export splicing corruption)._row_to_extra_json falls back to timestamp*1000 (matches history sidebar), ChatSorcarAgent.run captures one start_ts_ms persisted as early startTs AND carried by the event (_task_settings_payload now takes start_ts), stale-budget-on-reuse fixed by using resolved_budget in the final save.test_settings_only_events_still_get_prompt_and_result, test_omitted_budget_and_work_dir_resolve_to_run_defaults, startTs-fallback expectations in test_task_settings_info.py + test_persistence.py; JS — queued-follow-up keeps settings, clear clears.Next: run Python impacted suites + JS tests + coverage gates again, node --check, then uv run check --full, git add new files, update PROGRESS.md, finish.
cd /Users/ksen/work/kiss/src/kiss/agents/vscode && timeout 600 node test/run-all.js > /tmp/js-all.log 2>&1 < /dev/null; echo "exit=$?"; grep -c "^\[" /tmp/js-all.log; grep -iE "fail|error" /tmp/js-all.log | grep -v "0 failed" | headcd /Users/ksen/work/kiss/src/kiss/agents/vscode && mkdir -p /Users/ksen/work/kiss/tmp && nohup node test/run-all.js > /Users/ksen/work/kiss/tmp/js-all.log 2>&1 < /dev/null & echo "started $!"cd /Users/ksen/work/kiss && git check-ignore src/kiss/agents/vscode/kiss_project && echo IGNORED || echo TRACKED; ls -la src/kiss/agents/vscode/kiss_project | head -5; git status --short | head -40sleep 240; tail -3 /Users/ksen/work/kiss/tmp/js-all.log; grep -n "FAILED SUITES\|failed" /Users/ksen/work/kiss/tmp/js-all.log | grep -v "0 failed" | tail -10; grep -c "^\[" /Users/ksen/work/kiss/tmp/js-all.logsleep 300; tail -5 /Users/ksen/work/kiss/tmp/js-all.log; grep -c "^\[" /Users/ksen/work/kiss/tmp/js-all.log; pgrep -f "run-all.js" >/dev/null && echo RUNNING || echo DONEgrep -n "FAILED\|failed suites\|All .* passed\|passed$" /Users/ksen/work/kiss/tmp/js-all.log | tail -6; tail -20 /Users/ksen/work/kiss/tmp/js-all.log | head -20; grep -n "✗\|not ok" /Users/ksen/work/kiss/tmp/js-all.log | headcd /Users/ksen/work/kiss/src/kiss/agents/vscode/test && ls | grep -E "\.test\.js$|\.coverage\.js$" | sort | sed -n '202,231p' > /tmp/js-rest.txt; cat /tmp/js-rest.txtcd /Users/ksen/work/kiss/src/kiss/agents/vscode && rc=0; while read f; do timeout 120 node test/$f > /tmp/js-one.log 2>&1 < /dev/null; e=$?; if [ $e -ne 0 ]; then echo "FAIL($e): $f"; tail -5 /tmp/js-one.log; rc=1; fi; done < /tmp/js-rest.txt; echo "overall=$rc"All JS suites pass. Now dispatching the read-only review to gpt-5.6-sol:
sleep 420; echo waitedcd /Users/ksen/work/kiss && uv run python - <<'EOF'
import sqlite3, json, os
db = sqlite3.connect(os.path.expanduser("~/.kiss/sorcar.db"))
db.row_factory = sqlite3.Row
rows = db.execute("SELECT id, task, result, timestamp FROM task_history ORDER BY timestamp DESC LIMIT 5").fetchall()
for r in rows:
print(r["id"][:8], repr(r["task"][:80]), "|", repr((r["result"] or "")[:100]))
EOFcd /Users/ksen/work/kiss && uv run python - <<'EOF'
import sqlite3, os
db = sqlite3.connect(os.path.expanduser("~/.kiss/sorcar.db"))
db.row_factory = sqlite3.Row
r = db.execute("SELECT result FROM task_history WHERE id LIKE '5e87aec0%'").fetchone()
print(r["result"])
EOFcd /Users/ksen/work/kiss && uv run python - <<'EOF'
import sqlite3, os
db = sqlite3.connect(os.path.expanduser("~/.kiss/sorcar.db"))
db.row_factory = sqlite3.Row
rows = db.execute("SELECT id, task, result, timestamp FROM task_history ORDER BY timestamp DESC LIMIT 12").fetchall()
for r in rows:
res = (r["result"] or "")
print(r["id"][:8], "RUNNING" if res=="Agent Failed Abruptly" else "done", "|", repr(r["task"][:70]))
EOFcd /Users/ksen/work/kiss && uv run python - <<'EOF'
import sqlite3, os
db = sqlite3.connect(os.path.expanduser("~/.kiss/sorcar.db"))
db.row_factory = sqlite3.Row
for tid in ("9c817b1f", "00343ff4", "efd1cbf2"):
r = db.execute("SELECT result FROM task_history WHERE id LIKE ?", (tid+"%",)).fetchone()
print("="*20, tid)
print((r["result"] or "")[:6000])
EOFThe review found 5 actionable defects. Let me check the clear case before implementing fixes:
cd /Users/ksen/work/kiss && sed -n "$(grep -n \"case 'clear':\" src/kiss/agents/vscode/media/main.js | head -1 | cut -d: -f1),+45p" src/kiss/agents/vscode/media/main.js; grep -n "case 'clear'" src/kiss/agents/vscode/media/main.jscd /Users/ksen/work/kiss && sed -n 6364,6420p src/kiss/agents/vscode/media/main.jsNow implementing all review fixes. First the webview (Fix D + E):
Now the Python fixes (A, B, C):
cd /Users/ksen/work/kiss && grep -n "_load_last_model\|get_default_model" src/kiss/agents/sorcar/sorcar_agent.py | head -4Now chat_sorcar_agent.py run() — resolved snapshot, startTs, and final budget:
cd /Users/ksen/work/kiss && grep -n "_task_has_events" src/kiss/agents/sorcar/chat_sorcar_agent.pycd /Users/ksen/work/kiss && node --check src/kiss/agents/vscode/media/main.js && echo JS_OK && timeout 600 uv run pytest -q src/kiss/tests/agents/sorcar/test_task_settings_info.py src/kiss/tests/agents/sorcar/test_persistence.py src/kiss/tests/agents/sorcar/test_stateful_sorcar_agent.py src/kiss/tests/agents/sorcar/test_task_history_strip_worktree.py 2>&1 | tail -6cd /Users/ksen/work/kiss/src/kiss/agents/vscode && timeout 150 node test/taskPanelSettingsInfo.coverage.js > /tmp/ti-cov2.log 2>&1 < /dev/null; echo "cov exit=$?"; tail -4 /tmp/ti-cov2.logcd /Users/ksen/work/kiss/src/kiss/agents/vscode && timeout 150 node test/taskPanelSettingsInfo.coverage.js > /tmp/ti-cov3.log 2>&1 < /dev/null; echo "cov exit=$?"; tail -4 /tmp/ti-cov3.logcd /Users/ksen/work/kiss/src/kiss/agents/vscode && for f in crossTabTextLeak.coverage staticTaskPanelVisibleTask.coverage taskPanelExpandFullText.coverage drawerPanels.coverage shareChat.test adjacentTaskScroll.test taskPanelWheelNav.coverage; do timeout 200 node test/$f.js > /tmp/js-f.log 2>&1 < /dev/null; echo "$f exit=$?"; donecd /Users/ksen/work/kiss && timeout 1500 uv run pytest -q src/kiss/tests/server/test_replay_event_coalescing.py src/kiss/tests/server/test_share_chat.py src/kiss/tests/server/test_history_scroll_to_task.py src/kiss/tests/server/test_full_branch_coverage.py src/kiss/tests/server/test_print_to_browser.py src/kiss/tests/agents/sorcar/test_persistence_inconsistencies.py src/kiss/tests/agents/sorcar/test_set_task_favorite.py src/kiss/tests/agents/sorcar/test_simplification_lockdown_persistence.py src/kiss/tests/agents/sorcar/test_adjacent_skips_subagent.py src/kiss/tests/agents/sorcar/test_persistence_events_loaders.py src/kiss/tests/agents/sorcar/test_bughunt_persist2_adjacent_ts_tie.py src/kiss/tests/agents/sorcar/test_bughunt3_persist_ts_tie_task_lookup.py src/kiss/tests/agents/sorcar/test_subagent_context_excluded.py src/kiss/tests/agents/sorcar/test_bughunt5_nan_extra.py src/kiss/tests/agents/sorcar/test_bughunt6_favorite_corrupt_extra.py src/kiss/tests/agents/sorcar/test_bughunt8_data_blob_columns.py src/kiss/tests/agents/sorcar/test_history_date_range.py src/kiss/tests/agents/sorcar/test_orphan_task_recovery.py 2>&1 | tail -4cd /Users/ksen/work/kiss && grep -rln "startTs" src/kiss/tests --include=*.py | tr '\n' ' '; echo; grep -rln "startTs" src/kiss/agents/vscode/test/*.js | headwc -l /Users/ksen/work/kiss/tmp/trajectory_0.jsongrep -n '"unique_id"' /Users/ksen/work/kiss/tmp/trajectory_0.json | awk -F: '{print $1}' | head -3; grep -n 'summary(description=' /Users/ksen/work/kiss/tmp/trajectory_0.jsonsed -n '2030,2120p' /Users/ksen/work/kiss/tmp/trajectory_0.json | head -120You are KISS Sorcar, an AI Assistant and a general-purpose multi-model, multi-modal, multi-agent AI Agent Framework researched and developed by Koushik Sen (ksen@berkeley.edu). You can do software development, control a computer, research, discover, write papers, create presentations, chat with other agents via voice or internet, shop, bank, message, email, browse, and do data science. Repo: https://github.com/ksenxx/kiss_ai. Website is https://kisssorcar.github.io/. Version: 2026.8.12
Your sole goal is completing the user’s task accurately and thoroughly. Be honest, direct, rigorous, check facts, and produce ONLY highest-quality work with NO AI SLOP. "AI slop" means: filler phrases, hedging boilerplate, invented facts or citations, generic stock imagery, emoji or em-dash overuse, and content-free repetition. After the task is done and before you finish, re-read your deliverables and remove all AI slop.
When instructions conflict, resolve them in this order (1 = highest priority):
The user cannot see your thoughts, reasoning, scratchpad, intermediate tool outputs, or assistant prose. Your words reach the user through three output channels: (1) the string you pass to finish(summary_in_html=…), (2) the progress notes you pass to summary(…), and (3) speech played by talk(). (Interactive tools such as ask_user_question() and a browser made visible with show_browser() are also user-visible, but use them for interaction, not for delivering answers.) finish(summary_in_html=…) is the primary answer channel: the complete final answer MUST be in it. Compose the full detailed answer directly inside the summary_in_html string of finish(), always formatted as HTML (e.g. <h3>, <p>, <ul>, <pre><code>), never Markdown. When answering informational questions, include the complete answer in the summary, not a meta-description of what was done. The summary MUST contain the actual content the user should see, NOT a third-person narration of what happened.
If the user wants a report or if your answer exceeds roughly 800 words, create a detailed html report in chunks with diagrams and illustrations (that do not look AI-generated: no generic stock imagery, no decorative clip-art; use diagrams that carry real information) in ./reports. The report must be accessible to a general audience. Check the report against the AI-slop checklist in the identity section and remove any AI slop.
Default policy — CRITICAL: Before starting any task, ask yourself: “Am I fully confident I can complete this task correctly, with current and accurate information, WITHOUT Internet search using Google?” Only when the answer is a clear yes (e.g., trivial arithmetic, or a purely mechanical edit fully specified by the user in files you have already read, coding based on local files) may you skip Google Internet research. If any part of the task involves external APIs, libraries, tools, versions, best practices, or facts that could be outdated or wrong in your training data, you are NOT confident enough — search the Internet using Google. When in doubt, search the Internet using Google first.
When doing Google Internet research:
If Google search is blocked, open a keyword search for your current research topic in the Chromium browser, and ask the user to manually pass the bot check. If that fails, you can use other search engines.
Real-Time Data — CRITICAL
For questions about current events, weather, stock prices, sports scores, or any time-sensitive information: you MUST use tools (go_to_url, Bash) to look up the data. Do NOT answer from your training data — it is outdated and will produce incorrect dates, numbers, and facts. For such lookups you may visit as few as 1 authoritative website instead of 10. If a task is both time-sensitive AND involves unfamiliar APIs, libraries, or best practices, the full 10-site rule applies.
Write simple, clean, readable code with minimal indirection. These rules exist because over-abstracted code is harder to debug and maintain.
Your VERY FIRST tool call in EVERY task (project-related or not) MUST be Read("./SORCAR.md"); it may contain user memory and preferences relevant to any task. Follow the instructions in SORCAR.md, subject to the Rule Precedence order in the identity section. If the first user input is spoken, still Read("./SORCAR.md") first, then reply with talk().
Pre-flight Checks
Read before modify rule — NON-NEGOTIABLE: You MUST call Read(file_path) on every existing file BEFORE calling Edit(file_path) on it or overwriting it with Write(file_path). Never modify a file you have not Read in the current session.
Read relevant source files when the task depends on existing architecture. If referenced files, commands, or config don’t exist, stop and ask the user rather than guessing.
When fixing bugs, issues, or race conditions, write an end-to-end test that reproduces the problem first, then fix the code, and finally verify the test passes.
Mandatory Instructions (MUST FOLLOW): You will be exploring, implementing, and evaluating novel ideas while doing AI discovery or auto research or optimization or AI research.
Use the following technique when the user asks for adversarial testing, which makes sure that the software system you developed is correct/efficient under all conditions. Use a subtask to break the system by writing adversarial tests/adversarial workloads, and use another subtask to fix the issues.
Use the following technique when the user asks for adversarial training, which makes sure that the model does not overfit the data. If you are training an AI model, iteratively generate adversarial datasets having the same characteristics as the original dataset, but will make the model score less. Then tune the model to handle the discrepancy. Repeat the process until the model scores high on a new adversarial dataset.
For work spanning 3+ files, crossing module boundaries, or changing architecture:
Skip this planning step for simple single-file modifications.
When exploring unfamiliar code, collect information and code snippets in ./tmp/file-information-{unique_id}.md as you go, relevant for the task, then review the collected material and think deeply before acting. When fixing a localized bug, locate the code with grep first and Read only the implicated regions and their direct call sites; widen the reading only when a concrete question requires it.
Interact with desktop applications using the available screenshot, keyboard, and mouse tools (screenshot(), press_key(), click()). Do not launch VS Code or its extensions.
Before calling finish(success=True):
,
), never Markdown")
The summary_in_html argument of finish MUST always be formatted as HTML.
Work dir: /Users/ksen/work/kiss
Current process PID: 10593 — NEVER kill this process.
what and where in code do you add extra information about working dir, process id etc. to the system prompt?
The lines you see at the bottom of the system prompt (# MOST IMPORTANT INSTRUCTIONS, Work dir: …, Current process PID: …) are added in src/kiss/agents/sorcar/relentless_agent.py.
IMPORTANT_INSTRUCTIONS (module constant, ~lines 38–48)IMPORTANT_INSTRUCTIONS = """
# MOST IMPORTANT INSTRUCTIONS
- **If the task is not complete and you are at risk of running out of context \
length, you MUST call finish(success=False, is_continue=True, \
summary_in_html="...")**
- The summary_in_html argument of finish MUST always be formatted as HTML.
- Work dir: {work_dir}
- Current process PID: {current_pid} — NEVER kill this process.
"""RelentlessAgent.perform_task() (~lines 256–266)current_pid = str(os.getpid())
important_instructions = IMPORTANT_INSTRUCTIONS.format(
work_dir=self.work_dir,
current_pid=current_pid,
)
sorcar_md = config_module.kiss_home() / "SORCAR.md"
if sorcar_md.is_file():
important_instructions += "\n" + sorcar_md.read_text()
system_prompt = self.system_prompt + important_instructionsSo at task start the agent:
self.work_dir (resolved in RelentlessAgent.__init__, line ~170: str(Path(work_dir or default_work_dir).resolve())) and the live os.getpid();~/.kiss/SORCAR.md if it exists (global user memory/preferences);system_prompt to every per-session KISSAgent executor (so it survives continuations across sub-sessions).src/kiss/core/base.py (lines ~25–43): loads the base prompt — SYSTEM_PROMPT = (_kiss_pkg_dir / "SYSTEM.md").read_text(...) — and appends a platform note on Windows (Git Bash vs. PowerShell guidance).src/kiss/agents/sorcar/sorcar_agent.py (run(), ~lines 1546–1566): assembles system_instructions = (base_system_prompt or SYSTEM_PROMPT) + system_prompt_suffix, and appends one more dynamic line when an editor file is open: "- The path of the file open in the editor is {current_editor_file}".In short: the base identity comes from SYSTEM.md via kiss/core/base.py; the runtime-specific extras (work dir, PID, SORCAR.md memory) are formatted and appended in RelentlessAgent.perform_task() in src/kiss/agents/sorcar/relentless_agent.py.
can you also append other settings information such as worktree mode, parallel mode, model name, budget, starting time, chat id, task id, parent id, is subagent to the system prompt? Also append those information to the static task panel in the chat webview and the share chat html which are shown when the static task panel is uncollapsed. The information should be similar to the information showed in the task panel of the task history panel. Use 'claude-fable-5' model for all tasks, including software development. Use 'gpt-5.6-sol' (not codex) for a thorough read-only review and debugging of the other model's work. Thoroughly check whether the other model has missed any code or wiring or introduced any bugs. Use at most 50% of task budget in gpt-5.6-sol for reviewing and debugging, and ask the model to not invent new problems. Use the model names literally without hallucinating new model names.
Task: In the KISS repo (/Users/ksen/work/kiss), append run-settings information (worktree mode, parallel mode, model name, budget, starting time, chat id, task id, parent id, is-subagent) to (1) the agent's system prompt, (2) the static task panel in the chat webview (visible when un-collapsed), and (3) the share-chat HTML — mirroring the format shown in the task-history sidebar. Implementation must use claude-fable-5; a read-only review/debug pass must use gpt-5.6-sol with ≤50% of the budget and instructions not to invent problems.
./SORCAR.md memory and confirmed the model was already claude-fable-5 via set_model; read the old tmp/PROGRESS.md (leftover from a previous task) and listed src/kiss/agents/sorcar/.relentless_agent.py to find where IMPORTANT_INSTRUCTIONS (work dir, PID) is formatted in perform_task() — the injection point for a new settings section.main.js, chat.html, main.css): identified the reference format in renderHistory() (workDir • model • wt/no-wt • parallel/sequential • … plus an ids line chat <id> • task <id> • parent <id>), the static panel elements (#task-panel, #task-panel-text, drawer collapse via drawer-collapsed class), and share export (shareTaskPanel/buildShareableHtml).ChatSorcarAgent.run() allocates the task id and persists an extra payload; JsonPrinter.broadcast() persists only event types in _DISPLAY_EVENT_TYPES; _extra_for_replay deliberately strips settings from replayed extra (a prior fix), so display settings must ride in a new task_settings event.task_history uses typed sqlite columns, so persisting the budget needs a new max_budget column plus migration wiring in persistence.py.tmp/PROGRESS.md, then implemented across the stack:
relentless_agent.py — new TASK_SETTINGS_HEADER + hook _system_prompt_task_settings() (model, budget, start time) appended in perform_task(); sorcar_agent.py override adds parallel mode; chat_sorcar_agent.py override adds worktree mode, chat/task/parent ids and is-subagent.persistence.py — new max_budget REAL column (DDL, _add_missing_columns migration, _HISTORY_SELECT, _EXTRA_COL_MAP, _row_to_extra_json, _add_task INSERT).json_printer.py — task_settings added to _DISPLAY_EVENT_TYPES; synthesis helpers _task_settings_event_from_session() / with_task_settings_event() so legacy tasks get a synthesized event; server.py (3 reply builders incl. adjacent tasks) and web_server.py (share_tasks) wrap replayed events with it. ChatSorcarAgent.run() broadcasts the persisted {"type":"task_settings","settings":{...}} event after task-id allocation.chat.html — new <div id="task-panel-info">; main.css — hidden when :empty or .drawer-collapsed; main.js — taskPanelInfoHTML/renderTaskPanelInfo/setTaskSettings, a case 'task_settings' in handleOutputEvent with active/replay/background-tab routing, taskSettingsById map, tab save/restore, updateVisibleTask/scrollChatToTask integration (adjacent tasks show their own settings), and share export filling each cloned panel's info block.src/kiss/tests/agents/sorcar/test_task_settings_info.py (10 tests: real e2e system-prompt capture via a local OpenAI-compatible HTTP server, persisted event, legacy-row synthesis, max_budget round-trip + old-DB migration) and src/kiss/agents/vscode/test/taskPanelSettingsInfo.test.js (9 JSDOM e2e tests) plus a V8 coverage gate (taskPanelSettingsInfo.coverage.js, 100% of the taskinfo-coverage marked regions).max_budget key, new leading task_settings event in replays) — updated those tests. Also found and fixed a real feature gap: _get_adjacent_task_by_chat_id didn't return chat_id/extra, so adjacent replays could never synthesize settings.node test/run-all.js, 231 suites) in the background — all passed; verified git status shows the expected 17 modified + 2 new files.gpt-5.6-sol review (via run_agent, budget-capped, told not to invent problems). It confirmed 5 real defects, all then fixed:
case 'setTaskText' to case 'clear' in main.js.ChatSorcarAgent.run now builds one authoritative resolved snapshot (extracted _resolve_model_name, new DEFAULT_MAX_BUDGET = 200.0 constant, resolved work dir) used for the early extra, the event, and the final save:
resolved_model = self._resolve_model_name(kwargs.get("model_name"))
resolved_budget = run_max_budget if run_max_budget is not None else DEFAULT_MAX_BUDGET
resolved_work_dir = str(Path(kwargs.get("work_dir") or ".").resolve())
start_ts_ms = int(time.time() * 1000)_task_has_transcript_events() in persistence.py ignores the task_settings event so early-failed runs still get synthesized prompt/result events.task_settings — bg branch now sets ownerTab.currentTaskId.start_ts_ms shared by the extra payload and the event (_task_settings_payload takes start_ts); _row_to_extra_json falls back to the row's insertion timestamp (matching the sidebar); stale-budget-on-agent-reuse fixed by saving resolved_budget.clear clears, bg-tab task-id adoption).node --check main.js OK; 49 tests in the four key Python suites passed.task-7 id; gate now passes at 136/136 (100%).startTs assertions across all Python/JS tests to find any remaining suites affected by the new startTs fallback.Implementation, review fixes, and targeted test suites are all green (~$70 of $1000 budget used at step 207). Remaining work (per the agent's own plan): finish auditing the startTs-asserting test files, run uv run check --full (lint/type gates), git add the two new test files, update tmp/PROGRESS.md, and call finish. The trajectory ends mid-verification without a finish call.
Resumed the continuation task. Done so far:
SORCAR.md and confirmed repo state (17 modified + 3 new files, tmp/PROGRESS.md intact).startTs assertions; ran the 10 startTs-adjacent server/sorcar Python test files (85 passed) and 8 vscode webview structure test files (55 passed) — the new insertion-timestamp fallback breaks nothing.tmp/js-all2.log) since main.js changed after the earlier full run.uv run check --full: ruff flagged an unsorted import block in chat_sorcar_agent.py; fixed with ruff check --fix, ruff now clean.cd /Users/ksen/work/kiss && git status --short && echo --- && ls tmp/PROGRESS.mdcd /Users/ksen/work/kiss && grep -rn "startTs" src/kiss/tests src/kiss/agents/vscode/test --include='*.py' --include='*.js' -lcd /Users/ksen/work/kiss && tail -50 tmp/PROGRESS.mdcd /Users/ksen/work/kiss && grep -rn "startTs" src/kiss/tests --include='*.py' | grep -iv "def \|comment" | head -60cd /Users/ksen/work/kiss && uv run pytest -q src/kiss/tests/agents/sorcar/test_review_round3_bugs.py src/kiss/tests/agents/sorcar/test_persistence_uuid_schema.py src/kiss/tests/server/test_simplify_server_cmds_regr.py src/kiss/tests/server/test_simplification_lockdown_server.py src/kiss/tests/server/test_bughunt_server_runner.py src/kiss/tests/server/test_running_label_timestamp.py src/kiss/tests/server/test_bughunt8_c_viewer_active_task.py src/kiss/tests/server/test_chat_viewer_live_stream.py src/kiss/tests/server/test_replay_uses_global_settings.py src/kiss/tests/server/test_remote_webapp_running_tasks.py 2>&1 | tail -15cd /Users/ksen/work/kiss && uv run pytest -q src/kiss/tests/agents/vscode/test_history_task_duration.py src/kiss/tests/agents/vscode/test_history_running_green_circle.py src/kiss/tests/agents/vscode/test_codex_task_panel_style.py src/kiss/tests/agents/vscode/test_running_label_timestamp.py src/kiss/tests/agents/vscode/test_history_failed_red_circle.py src/kiss/tests/agents/vscode/test_task_done_switches_to_tab.py src/kiss/tests/agents/vscode/test_history_workspace_filter.py src/kiss/tests/agents/vscode/test_history_no_solid_green_circle.py 2>&1 | tail -5startTs audit complete — all 140 tests pass. Now re-run the full JS suite once (main.js changed after the earlier full run) and lint in parallel.
cd /Users/ksen/work/kiss/src/kiss/agents/vscode && nohup node test/run-all.js > ../../../../tmp/js-all2.log 2>&1 < /dev/null & echo startedcd /Users/ksen/work/kiss && uv run check --full 2>&1 | tail -25cd /Users/ksen/work/kiss && uv run ruff check src/ 2>&1 | tail -30cd /Users/ksen/work/kiss && uv run ruff check --fix src/ && uv run ruff check src/ && git diff --stat src/kiss/agents/sorcar/chat_sorcar_agent.pycd /Users/ksen/work/kiss && uv run check --full 2>&1 | tail -6Continued the pre-finish verification phase:
cast import + typed call in web_server.py (with_task_settings_event(cast("list[dict[str, Any]]", row.get("events") or []), row)), and added _events()/_extra() typed helpers in test_task_settings_info.py, replacing all session["events"]/session["extra"] raw accesses. mypy now reports no issues.test_task_settings_info.py, test_share_chat.py): 33 passed.uv run check --full: ruff, compileall, mypy now pass; only remaining failure is VS Code extension eslint/prettier — a formatting nit in main.js line 7477 (argument wrapping). Next: run eslint --fix, re-verify lint, confirm the background full JS suite result, git add new files, update tmp/PROGRESS.md, and finish.cd /Users/ksen/work/kiss && uv run mypy src/ 2>&1 | grep -v "^Success" | tail -20cd /Users/ksen/work/kiss && sed -n 4625,4645p src/kiss/server/web_server.pycd /Users/ksen/work/kiss && sed -n 290,330p src/kiss/tests/agents/sorcar/test_task_settings_info.py && echo ---- && sed -n 340,365p src/kiss/tests/agents/sorcar/test_task_settings_info.py && echo ---- && sed -n 400,455p src/kiss/tests/agents/sorcar/test_task_settings_info.pycd /Users/ksen/work/kiss && grep -n "with_task_settings_event" src/kiss/server/server.py src/kiss/server/json_printer.py src/kiss/server/web_server.py | head && grep -n "def with_task_settings_event" -A 12 src/kiss/server/json_printer.pycd /Users/ksen/work/kiss && sed -n 1360,1375p src/kiss/server/server.py && sed -n 4600,4640p src/kiss/server/web_server.py | grep -n "rows\|def \|row" | headcd /Users/ksen/work/kiss && grep -n "def _load_all_chat_events_by_chat_id" -A 3 src/kiss/agents/sorcar/persistence.py && grep -n "def _load_chat_events_by_task_id" -A 3 src/kiss/agents/sorcar/persistence.py && grep -n "cast(" src/kiss/server/web_server.py | head -5cd /Users/ksen/work/kiss && grep -n "^from typing\|^import typing" src/kiss/server/web_server.py src/kiss/tests/agents/sorcar/test_task_settings_info.pycd /Users/ksen/work/kiss && sed -n 1,60p src/kiss/tests/agents/sorcar/test_task_settings_info.pycd /Users/ksen/work/kiss && grep -n 'session\["events"\]\|session\["extra"\]' src/kiss/tests/agents/sorcar/test_task_settings_info.pycd /Users/ksen/work/kiss && python3 - <<'EOF'
import re
p = 'src/kiss/tests/agents/sorcar/test_task_settings_info.py'
s = open(p).read()
subs = [
('events = with_task_settings_event(session["events"], session)',
'events = with_task_settings_event(_events(session), session)'),
('events = with_task_settings_event(list(session["events"]), session)',
'events = with_task_settings_event(list(_events(session)), session)'),
('types = [e.get("type") for e in session["events"]]',
'types = [e.get("type") for e in _events(session)]'),
('assert len(session["events"]) == 3',
'assert len(_events(session)) == 3'),
('assert json.loads(session["extra"])["max_budget"] == 12.5',
'assert _extra(session)["max_budget"] == 12.5'),
('assert json.loads(session["extra"])["max_budget"] == 7.25',
'assert _extra(session)["max_budget"] == 7.25'),
('assert json.loads(session["extra"])["max_budget"] == 1.5',
'assert _extra(session)["max_budget"] == 1.5'),
('extra = json.loads(str(session["extra"]))',
'extra = _extra(session)'),
]
for old, new in subs:
assert old in s, old
s = s.replace(old, new)
open(p, 'w').write(s)
print("done")
EOFcd /Users/ksen/work/kiss && sed -n 228,262p src/kiss/tests/agents/sorcar/test_task_settings_info.pycd /Users/ksen/work/kiss && python3 - <<'EOF'
p = 'src/kiss/tests/agents/sorcar/test_task_settings_info.py'
s = open(p).read()
old = """ assert (
with_task_settings_event(session["events"], session)
is session["events"]
)"""
new = """ assert (
with_task_settings_event(_events(session), session)
is session["events"]
)"""
assert old in s
s = s.replace(old, new)
s = s.replace(
'e for e in session["events"] if e.get("type") == "task_settings"',
'e for e in _events(session) if e.get("type") == "task_settings"',
)
open(p, 'w').write(s)
print("done")
EOF
uv run mypy src/kiss/tests/agents/sorcar/test_task_settings_info.py src/kiss/server/web_server.py 2>&1 | tail -3cd /Users/ksen/work/kiss && uv run pytest -q src/kiss/tests/agents/sorcar/test_task_settings_info.py src/kiss/tests/server/test_share_chat.py 2>&1 | tail -3 && tail -5 tmp/js-all2.logcd /Users/ksen/work/kiss && uv run check --full 2>&1 | tail -4cd /Users/ksen/work/kiss && uv run check --full 2>&1 | grep -B 2 "❌\|failed with" | head -30cd /Users/ksen/work/kiss/src/kiss/agents/vscode && (npm run lint 2>&1 || true) | tail -30Verification progress since last summary:
eslint --fix resolved the prettier error in main.js; node --check passes; uv run check --full now reports "All checks passed!".EXIT_CODE marker (tmp/js-all3.log).git add-ed the 3 new test files; appended a Continuation-2 log to tmp/PROGRESS.md; reviewed diffs of chat_sorcar_agent.py (import fix) and web_server.py (cast + with_task_settings_event wiring).tail showed an Error (exit code 1): line in the log, but a follow-up grep -B8 "Error (exit code" returned nothing — need to re-inspect the log (the grep pattern likely mismatched due to shell quoting). Next: locate/diagnose any failing JS suite, confirm final EXIT_CODE, then finish.cd /Users/ksen/work/kiss/src/kiss/agents/vscode && npx eslint media/main.js --fix && sed -n 7470,7482p media/main.js && node --check media/main.js && echo SYNTAX-OKcd /Users/ksen/work/kiss && uv run check --full 2>&1 | tail -4 && echo ===JS=== && tail -3 tmp/js-all2.log && ps aux | grep "run-all.js" | grep -v grep | wc -lcd /Users/ksen/work/kiss && grep -n "failed\|FAIL\|✗" tmp/js-all2.log | grep -v "0 failed" | head && grep -c "passed, 0 failed" tmp/js-all2.log && tail -15 tmp/js-all2.log | head -15cd /Users/ksen/work/kiss && wc -l tmp/js-all2.log && sleep 10 && wc -l tmp/js-all2.log && ps aux | grep -i "node.*test" | grep -v grep | headThe JS runner died at suite 201/231 without a final summary. Re-running the full JS suite with an exit-code marker:
cd /Users/ksen/work/kiss/src/kiss/agents/vscode && nohup sh -c 'node test/run-all.js; echo "EXIT_CODE=$?"' > ../../../../tmp/js-all3.log 2>&1 < /dev/null & echo startedcd /Users/ksen/work/kiss && git add src/kiss/agents/vscode/test/taskPanelSettingsInfo.coverage.js src/kiss/agents/vscode/test/taskPanelSettingsInfo.test.js src/kiss/tests/agents/sorcar/test_task_settings_info.py && git status --short | head -25 && git diff src/kiss/agents/sorcar/chat_sorcar_agent.py | head -30cd /Users/ksen/work/kiss && cat >> tmp/PROGRESS.md <<'EOF'
## Continuation 2 (final verification)
- Closed the startTs audit: ran the 10 startTs-adjacent server/sorcar
Python test files (85 passed) and 8 vscode webview structure test
files (55 passed) — the insertion-timestamp fallback in
`_row_to_extra_json` breaks nothing.
- `uv run check --full` fixes:
- ruff: unsorted import block in `chat_sorcar_agent.py` (auto-fixed).
- mypy (11 errors): `web_server.py` share loop now passes
`cast("list[dict[str, Any]]", row.get("events") or [])` to
`with_task_settings_event`; `test_task_settings_info.py` gained
typed helpers `_events(session)` / `_extra(session)` replacing raw
`session["events"]` / `session["extra"]` accesses.
- eslint/prettier: argument wrapping in `shareTaskSection` call in
`main.js` (auto-fixed with `eslint --fix`).
- `uv run check --full` now: All checks passed.
- Re-ran `test_task_settings_info.py` + `test_share_chat.py`: 33 passed.
- Full JS suite re-run (main.js changed after first full run).
- `git add`-ed the 3 new files (2 JS tests + 1 Python test).
EOF
git diff src/kiss/server/web_server.py | head -40cd /Users/ksen/work/kiss && sleep 240 && tail -3 tmp/js-all3.log && grep -n "EXIT_CODE" tmp/js-all3.logcd /Users/ksen/work/kiss && grep -n -B 8 "Error (exit code" tmp/js-all3.log | head -40JS-suite verification deep-dive:
tmp/js-all.log from the previous session) die at exactly suite 201/231 (voiceBrowserTranscribe.test.js, the "actual voice: real TTS" test) — the runner process disappears with no final summary. This is a pre-existing environment issue, not caused by our changes (identical 2524-line logs pre- and post-change).run-all.js discovers *.test.js/*.coverage.js sorted, each suite in its own node process; suites 202–231 were never executed in any run.tmp/js-rest.log): 10 OK so far, none failed; currently stalled >2 min on voiceWakeNoInsert.test.js — likely a slow/hanging voice test (waits on audio). Will keep polling; if it hangs indefinitely, will skip voice-only suites (unrelated to the task-settings feature) and note them.uv run check --full fully green, new test files git add-ed, tmp/PROGRESS.md updated.cd /Users/ksen/work/kiss && grep -n "Error (exit code" tmp/js-all3.log && grep -n "EXIT_CODE" tmp/js-all3.log; tail -1 tmp/js-all3.logcd /Users/ksen/work/kiss && wc -l tmp/js-all3.log && ps aux | grep -E "run-all|node test" | grep -v grep | head -5; grep -c "passed, 0 failed" tmp/js-all3.log; grep -in "error" tmp/js-all3.log | head; grep -n "^\[2" tmp/js-all3.log | tail -3cd /Users/ksen/work/kiss && sed -n 2505,2524p tmp/js-all3.log | cat -A | sed -n 1,25p | cut -c1-100cd /Users/ksen/work/kiss && sed -n 2512,2524p tmp/js-all3.log && echo ---- && ls src/kiss/agents/vscode/test/ | sed -n '/voiceBrowserTranscribe/,+4p' 2>/dev/null || ls src/kiss/agents/vscode/test | grep -A4 voiceBrowserTranscribecd /Users/ksen/work/kiss && ls -la tmp/js-all*.log && tail -5 tmp/js-all.log && grep -n "^\[2" tmp/js-all.log | tail -2cd /Users/ksen/work/kiss/src/kiss/agents/vscode && sed -n 1,40p test/run-all.jscd /Users/ksen/work/kiss/src/kiss/agents/vscode && nohup sh -c 'for f in $(ls test/*.test.js test/*.coverage.js | sort | awk "NR>=202"); do echo "== $f"; node "$f" >/dev/null 2>&1 && echo OK || echo "FAILED $f"; done; echo ALL_DONE' > ../../../../tmp/js-rest.log 2>&1 < /dev/null & echo startedcd /Users/ksen/work/kiss && sleep 90; grep -c "^OK" tmp/js-rest.log; grep "FAILED\|ALL_DONE" tmp/js-rest.log; tail -2 tmp/js-rest.logcd /Users/ksen/work/kiss && sleep 120; grep "FAILED\|ALL_DONE" tmp/js-rest.log; grep -c "^OK" tmp/js-rest.logcd /Users/ksen/work/kiss && sleep 240; grep "FAILED\|ALL_DONE" tmp/js-rest.log; grep -c "^OK" tmp/js-rest.log; tail -2 tmp/js-rest.logcd /Users/ksen/work/kiss/src/kiss/agents/vscode && ls test/*.test.js test/*.coverage.js | sort | awk 'NR>=202' && pkill -f "voiceWakeNoInsert" ; pkill -f "js-rest" ; echo killedcd /Users/ksen/work/kiss/src/kiss/agents/vscode && for f in test/webappServerLoadingOverlay.test.js test/webviewMediaCacheBust.test.js test/webviewNotifications.test.js test/webviewTalkAudioCsp.test.js test/welcomeScrollTop.test.js test/welcomeSuggestionsTooltip.test.js test/workspaceScopedTabs.test.js test/worktreeDiscardSilent.test.js test/worktreeDoneLinkRecheck.test.js test/worktreeFileLinkRecheck.test.js test/worktreeRecheckReconnect.test.js test/worktreeReplayFallbackRestore.test.js; do node "$f" >/dev/null 2>&1 && echo "OK $f" || echo "FAILED $f"; donecd /Users/ksen/work/kiss/src/kiss/agents/vscode && for f in test/voiceWakeNoInsert.test.js test/voiceWakeRequiredBeforeTranscribe.test.js test/voiceWakeSensitivityService.test.js test/voiceWakeSidebarVisibility.test.js test/voiceWakeSpeakerEvent.test.js test/voiceWakeSpeechLines.test.js test/voiceWakeStopKillsTree.test.js test/voiceWebviewMode.test.js; do (node "$f" >/dev/null 2>&1 && echo "OK $f" || echo "FAILED-OR-TIMEOUT $f") & pid=$!; (sleep 60; kill $pid 2>/dev/null) & wpid=$!; wait $pid 2>/dev/null; kill $wpid 2>/dev/null; done; echo DONEcd /Users/ksen/work/kiss/src/kiss/agents/vscode && time node test/voiceWakeRequiredBeforeTranscribe.test.js 2>&1 | tail -3All 231 JS suites now verified green. Final bookkeeping:
cd /Users/ksen/work/kiss && cat >> tmp/PROGRESS.md <<'EOF'
- Full JS suite: run-all.js consistently dies right after suite
201/231 (voiceBrowserTranscribe's "real TTS" test) — PRE-EXISTING
(identical behavior in the pre-change tmp/js-all.log). Verified the
never-run suites 202-231 individually: all 30 pass (voice suites are
slow, up to ~80s each). Combined with the 201 suites that passed in
run-all, all 231 JS suites are green.
- Final `uv run check --full`: All checks passed. DONE.
EOF
git status --short | wc -l && pkill -f "js-rest" 2>/dev/null; echo okTask: In the KISS repo (/Users/ksen/work/kiss), append run-settings information (worktree mode, parallel mode, model name, budget, starting time, chat id, task id, parent id, is-subagent) to (1) the agent's system prompt, (2) the static task panel in the chat webview (visible when un-collapsed), and (3) the share-chat HTML — mirroring the format shown in the task-history sidebar. Implementation must use claude-fable-5; a read-only review/debug pass must use gpt-5.6-sol with ≤50% of the budget and instructions not to invent problems.
./SORCAR.md memory and confirmed the model was already claude-fable-5 via set_model; read the old tmp/PROGRESS.md (leftover from a previous task) and listed src/kiss/agents/sorcar/.relentless_agent.py to find where IMPORTANT_INSTRUCTIONS (work dir, PID) is formatted in perform_task() — the injection point for a new settings section.main.js, chat.html, main.css): identified the reference format in renderHistory() (workDir • model • wt/no-wt • parallel/sequential • … plus an ids line chat <id> • task <id> • parent <id>), the static panel elements (#task-panel, #task-panel-text, drawer collapse via drawer-collapsed class), and share export (shareTaskPanel/buildShareableHtml).ChatSorcarAgent.run() allocates the task id and persists an extra payload; JsonPrinter.broadcast() persists only event types in _DISPLAY_EVENT_TYPES; _extra_for_replay deliberately strips settings from replayed extra (a prior fix), so display settings must ride in a new task_settings event.task_history uses typed sqlite columns, so persisting the budget needs a new max_budget column plus migration wiring in persistence.py.tmp/PROGRESS.md, then implemented across the stack:
relentless_agent.py — new TASK_SETTINGS_HEADER + hook _system_prompt_task_settings() (model, budget, start time) appended in perform_task(); sorcar_agent.py override adds parallel mode; chat_sorcar_agent.py override adds worktree mode, chat/task/parent ids and is-subagent.persistence.py — new max_budget REAL column (DDL, _add_missing_columns migration, _HISTORY_SELECT, _EXTRA_COL_MAP, _row_to_extra_json, _add_task INSERT).json_printer.py — task_settings added to _DISPLAY_EVENT_TYPES; synthesis helpers _task_settings_event_from_session() / with_task_settings_event() so legacy tasks get a synthesized event; server.py (3 reply builders incl. adjacent tasks) and web_server.py (share_tasks) wrap replayed events with it. ChatSorcarAgent.run() broadcasts the persisted {"type":"task_settings","settings":{...}} event after task-id allocation.chat.html — new <div id="task-panel-info">; main.css — hidden when :empty or .drawer-collapsed; main.js — taskPanelInfoHTML/renderTaskPanelInfo/setTaskSettings, a case 'task_settings' in handleOutputEvent with active/replay/background-tab routing, taskSettingsById map, tab save/restore, updateVisibleTask/scrollChatToTask integration (adjacent tasks show their own settings), and share export filling each cloned panel's info block.src/kiss/tests/agents/sorcar/test_task_settings_info.py (10 tests: real e2e system-prompt capture via a local OpenAI-compatible HTTP server, persisted event, legacy-row synthesis, max_budget round-trip + old-DB migration) and src/kiss/agents/vscode/test/taskPanelSettingsInfo.test.js (9 JSDOM e2e tests) plus a V8 coverage gate (taskPanelSettingsInfo.coverage.js, 100% of the taskinfo-coverage marked regions).max_budget key, new leading task_settings event in replays) — updated those tests. Also found and fixed a real feature gap: _get_adjacent_task_by_chat_id didn't return chat_id/extra, so adjacent replays could never synthesize settings.node test/run-all.js, 231 suites) in the background — all passed; verified git status shows the expected 17 modified + 2 new files.gpt-5.6-sol review (via run_agent, budget-capped, told not to invent problems). It confirmed 5 real defects, all then fixed:
case 'setTaskText' to case 'clear' in main.js.ChatSorcarAgent.run now builds one authoritative resolved snapshot (extracted _resolve_model_name, new DEFAULT_MAX_BUDGET = 200.0 constant, resolved work dir) used for the early extra, the event, and the final save:
resolved_model = self._resolve_model_name(kwargs.get("model_name"))
resolved_budget = run_max_budget if run_max_budget is not None else DEFAULT_MAX_BUDGET
resolved_work_dir = str(Path(kwargs.get("work_dir") or ".").resolve())
start_ts_ms = int(time.time() * 1000)_task_has_transcript_events() in persistence.py ignores the task_settings event so early-failed runs still get synthesized prompt/result events.task_settings — bg branch now sets ownerTab.currentTaskId.start_ts_ms shared by the extra payload and the event (_task_settings_payload takes start_ts); _row_to_extra_json falls back to the row's insertion timestamp (matching the sidebar); stale-budget-on-agent-reuse fixed by saving resolved_budget.clear clears, bg-tab task-id adoption).node --check main.js OK; 49 tests in the four key Python suites passed.task-7 id; gate now passes at 136/136 (100%).startTs assertions across all Python/JS tests to find any remaining suites affected by the new startTs fallback.Implementation, review fixes, and targeted test suites are all green (~$70 of $1000 budget used at step 207). Remaining work (per the agent's own plan): finish auditing the startTs-asserting test files, run uv run check --full (lint/type gates), git add the two new test files, update tmp/PROGRESS.md, and call finish. The trajectory ends mid-verification without a finish call.
All three surfaces now show the same run-settings the task-history sidebar shows: model, work dir, worktree mode, parallel mode, budget, start time, chat id, task id, parent id, and is-subagent. Implemented with claude-fable-5; independently reviewed/debugged read-only by gpt-5.6-sol (≤50% budget, instructed not to invent problems) — its 5 confirmed defects were all fixed and regression-tested.
# Task Settings sectionsrc/kiss/agents/sorcar/relentless_agent.py: new _system_prompt_task_settings() hook appends model, budget (new DEFAULT_MAX_BUDGET = 200.0), and start time next to the existing Work dir / PID lines in perform_task().sorcar_agent.py override adds parallel mode; chat_sorcar_agent.py override adds worktree mode, chat/task/parent ids, and is-subagent.ChatSorcarAgent.run() broadcasts one authoritative, resolved task_settings event (resolved model, budget, work dir, one shared start_ts_ms) right after task-id allocation; it is persisted as a display event.media/chat.html: new #task-panel-info div inside the task panel; main.css hides it when empty or when the drawer is collapsed — so it appears exactly when the panel is un-collapsed.media/main.js: case 'task_settings' handler with active-tab / replay / background-tab routing (bg tabs also adopt the task id), per-task taskSettingsById map, tab save/restore, and adjacent-task scrolling shows each task's own settings. Format mirrors renderHistory(): workDir • model • wt/no-wt • parallel/sequential • budget • start time plus chat <id> • task <id> • parent <id>.clear (not on queued follow-ups, which previously wiped them).server.py ×3 reply builders and web_server.py shareChatTasks) wrap replayed events with with_task_settings_event() (in json_printer.py), which synthesizes the event for legacy rows recorded before this feature; shareTaskPanel in main.js fills each exported task panel's info block.max_budget REAL column in task_history with automatic migration for old databases; startTs falls back to the row's insertion timestamp (same fallback as the sidebar); crash recovery ignores the metadata-only task_settings event so early-failed runs still get synthesized prompt/result events.src/kiss/tests/agents/sorcar/test_task_settings_info.py — 13 e2e tests, including a real-HTTP capture of the system prompt (no mocks), persisted-event round-trip, legacy-row synthesis, and old-DB migration.src/kiss/agents/vscode/test/taskPanelSettingsInfo.test.js + .coverage.js — JSDOM e2e tests and a V8 coverage gate at 100% of the feature's marked regions.uv run check --full: All checks passed (fixed one import-sort, 11 mypy typing errors, and one prettier nit introduced during the work).node test/run-all.js silently dies right after suite 201/231 (voiceBrowserTranscribe.test.js's "real TTS" test kills the runner process), so suites 202–231 were never executed by it — identical behavior before this change. I verified those 30 suites individually (all pass; some voice suites take ~80s).
Files: 19 modified + 3 new, all staged with git add (not committed): relentless_agent.py, sorcar_agent.py, chat_sorcar_agent.py, persistence.py, json_printer.py, server.py, web_server.py, chat.html, main.css, main.js, 9 updated test files, and the 3 new test files.
You are KISS Sorcar, an AI Assistant and a general-purpose multi-model, multi-modal, multi-agent AI Agent Framework researched and developed by Koushik Sen (ksen@berkeley.edu). You can do software development, control a computer, research, discover, write papers, create presentations, chat with other agents via voice or internet, shop, bank, message, email, browse, and do data science. Repo: https://github.com/ksenxx/kiss_ai. Website is https://kisssorcar.github.io/. Version: 2026.8.12
Your sole goal is completing the user’s task accurately and thoroughly. Be honest, direct, rigorous, check facts, and produce ONLY highest-quality work with NO AI SLOP. "AI slop" means: filler phrases, hedging boilerplate, invented facts or citations, generic stock imagery, emoji or em-dash overuse, and content-free repetition. After the task is done and before you finish, re-read your deliverables and remove all AI slop.
When instructions conflict, resolve them in this order (1 = highest priority):
The user cannot see your thoughts, reasoning, scratchpad, intermediate tool outputs, or assistant prose. Your words reach the user through three output channels: (1) the string you pass to finish(summary_in_html=…), (2) the progress notes you pass to summary(…), and (3) speech played by talk(). (Interactive tools such as ask_user_question() and a browser made visible with show_browser() are also user-visible, but use them for interaction, not for delivering answers.) finish(summary_in_html=…) is the primary answer channel: the complete final answer MUST be in it. Compose the full detailed answer directly inside the summary_in_html string of finish(), always formatted as HTML (e.g. <h3>, <p>, <ul>, <pre><code>), never Markdown. When answering informational questions, include the complete answer in the summary, not a meta-description of what was done. The summary MUST contain the actual content the user should see, NOT a third-person narration of what happened.
If the user wants a report or if your answer exceeds roughly 800 words, create a detailed html report in chunks with diagrams and illustrations (that do not look AI-generated: no generic stock imagery, no decorative clip-art; use diagrams that carry real information) in ./reports. The report must be accessible to a general audience. Check the report against the AI-slop checklist in the identity section and remove any AI slop.
Default policy — CRITICAL: Before starting any task, ask yourself: “Am I fully confident I can complete this task correctly, with current and accurate information, WITHOUT Internet search using Google?” Only when the answer is a clear yes (e.g., trivial arithmetic, or a purely mechanical edit fully specified by the user in files you have already read, coding based on local files) may you skip Google Internet research. If any part of the task involves external APIs, libraries, tools, versions, best practices, or facts that could be outdated or wrong in your training data, you are NOT confident enough — search the Internet using Google. When in doubt, search the Internet using Google first.
When doing Google Internet research:
If Google search is blocked, open a keyword search for your current research topic in the Chromium browser, and ask the user to manually pass the bot check. If that fails, you can use other search engines.
Real-Time Data — CRITICAL
For questions about current events, weather, stock prices, sports scores, or any time-sensitive information: you MUST use tools (go_to_url, Bash) to look up the data. Do NOT answer from your training data — it is outdated and will produce incorrect dates, numbers, and facts. For such lookups you may visit as few as 1 authoritative website instead of 10. If a task is both time-sensitive AND involves unfamiliar APIs, libraries, or best practices, the full 10-site rule applies.
Write simple, clean, readable code with minimal indirection. These rules exist because over-abstracted code is harder to debug and maintain.
Your VERY FIRST tool call in EVERY task (project-related or not) MUST be Read("./SORCAR.md"); it may contain user memory and preferences relevant to any task. Follow the instructions in SORCAR.md, subject to the Rule Precedence order in the identity section. If the first user input is spoken, still Read("./SORCAR.md") first, then reply with talk().
Pre-flight Checks
Read before modify rule — NON-NEGOTIABLE: You MUST call Read(file_path) on every existing file BEFORE calling Edit(file_path) on it or overwriting it with Write(file_path). Never modify a file you have not Read in the current session.
Read relevant source files when the task depends on existing architecture. If referenced files, commands, or config don’t exist, stop and ask the user rather than guessing.
When fixing bugs, issues, or race conditions, write an end-to-end test that reproduces the problem first, then fix the code, and finally verify the test passes.
Mandatory Instructions (MUST FOLLOW): You will be exploring, implementing, and evaluating novel ideas while doing AI discovery or auto research or optimization or AI research.
Use the following technique when the user asks for adversarial testing, which makes sure that the software system you developed is correct/efficient under all conditions. Use a subtask to break the system by writing adversarial tests/adversarial workloads, and use another subtask to fix the issues.
Use the following technique when the user asks for adversarial training, which makes sure that the model does not overfit the data. If you are training an AI model, iteratively generate adversarial datasets having the same characteristics as the original dataset, but will make the model score less. Then tune the model to handle the discrepancy. Repeat the process until the model scores high on a new adversarial dataset.
For work spanning 3+ files, crossing module boundaries, or changing architecture:
Skip this planning step for simple single-file modifications.
When exploring unfamiliar code, collect information and code snippets in ./tmp/file-information-{unique_id}.md as you go, relevant for the task, then review the collected material and think deeply before acting. When fixing a localized bug, locate the code with grep first and Read only the implicated regions and their direct call sites; widen the reading only when a concrete question requires it.
Interact with desktop applications using the available screenshot, keyboard, and mouse tools (screenshot(), press_key(), click()). Do not launch VS Code or its extensions.
Before calling finish(success=True):
,
), never Markdown")
The summary_in_html argument of finish MUST always be formatted as HTML.
Work dir: /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b
Current process PID: 77802 — NEVER kill this process.
Task Settings
- Model name: claude-fable-5
- Max budget (USD): $1000.00
- Starting time: 2026-08-19 13:37:48 PDT
- Parallel mode: parallel
- Worktree mode: worktree
- Chat id: 63ae7823fa424673bf5b6e04c04d0b21
- Task id: 8b752314295847028100a14f369e61b3
- Is subagent: no
what and where in code do you add extra information about working dir, process id etc. to the system prompt?
The lines you see at the bottom of the system prompt (# MOST IMPORTANT INSTRUCTIONS, Work dir: …, Current process PID: …) are added in src/kiss/agents/sorcar/relentless_agent.py.
IMPORTANT_INSTRUCTIONS (module constant, ~lines 38–48)IMPORTANT_INSTRUCTIONS = """
# MOST IMPORTANT INSTRUCTIONS
- **If the task is not complete and you are at risk of running out of context \
length, you MUST call finish(success=False, is_continue=True, \
summary_in_html="...")**
- The summary_in_html argument of finish MUST always be formatted as HTML.
- Work dir: {work_dir}
- Current process PID: {current_pid} — NEVER kill this process.
"""RelentlessAgent.perform_task() (~lines 256–266)current_pid = str(os.getpid())
important_instructions = IMPORTANT_INSTRUCTIONS.format(
work_dir=self.work_dir,
current_pid=current_pid,
)
sorcar_md = config_module.kiss_home() / "SORCAR.md"
if sorcar_md.is_file():
important_instructions += "\n" + sorcar_md.read_text()
system_prompt = self.system_prompt + important_instructionsSo at task start the agent:
self.work_dir (resolved in RelentlessAgent.__init__, line ~170: str(Path(work_dir or default_work_dir).resolve())) and the live os.getpid();~/.kiss/SORCAR.md if it exists (global user memory/preferences);system_prompt to every per-session KISSAgent executor (so it survives continuations across sub-sessions).src/kiss/core/base.py (lines ~25–43): loads the base prompt — SYSTEM_PROMPT = (_kiss_pkg_dir / "SYSTEM.md").read_text(...) — and appends a platform note on Windows (Git Bash vs. PowerShell guidance).src/kiss/agents/sorcar/sorcar_agent.py (run(), ~lines 1546–1566): assembles system_instructions = (base_system_prompt or SYSTEM_PROMPT) + system_prompt_suffix, and appends one more dynamic line when an editor file is open: "- The path of the file open in the editor is {current_editor_file}".In short: the base identity comes from SYSTEM.md via kiss/core/base.py; the runtime-specific extras (work dir, PID, SORCAR.md memory) are formatted and appended in RelentlessAgent.perform_task() in src/kiss/agents/sorcar/relentless_agent.py.
can you also append other settings information such as worktree mode, parallel mode, model name, budget, starting time, chat id, task id, parent id, is subagent to the system prompt? Also append those information to the static task panel in the chat webview and the share chat html which are shown when the static task panel is uncollapsed. The information should be similar to the information showed in the task panel of the task history panel. Use 'claude-fable-5' model for all tasks, including software development. Use 'gpt-5.6-sol' (not codex) for a thorough read-only review and debugging of the other model's work. Thoroughly check whether the other model has missed any code or wiring or introduced any bugs. Use at most 50% of task budget in gpt-5.6-sol for reviewing and debugging, and ask the model to not invent new problems. Use the model names literally without hallucinating new model names.
Task: In the KISS repo (/Users/ksen/work/kiss), append run-settings information (worktree mode, parallel mode, model name, budget, starting time, chat id, task id, parent id, is-subagent) to (1) the agent's system prompt, (2) the static task panel in the chat webview (visible when un-collapsed), and (3) the share-chat HTML — mirroring the format shown in the task-history sidebar. Implementation must use claude-fable-5; a read-only review/debug pass must use gpt-5.6-sol with ≤50% of the budget and instructions not to invent problems.
./SORCAR.md memory and confirmed the model was already claude-fable-5 via set_model; read the old tmp/PROGRESS.md (leftover from a previous task) and listed src/kiss/agents/sorcar/.relentless_agent.py to find where IMPORTANT_INSTRUCTIONS (work dir, PID) is formatted in perform_task() — the injection point for a new settings section.main.js, chat.html, main.css): identified the reference format in renderHistory() (workDir • model • wt/no-wt • parallel/sequential • … plus an ids line chat <id> • task <id> • parent <id>), the static panel elements (#task-panel, #task-panel-text, drawer collapse via drawer-collapsed class), and share export (shareTaskPanel/buildShareableHtml).ChatSorcarAgent.run() allocates the task id and persists an extra payload; JsonPrinter.broadcast() persists only event types in _DISPLAY_EVENT_TYPES; _extra_for_replay deliberately strips settings from replayed extra (a prior fix), so display settings must ride in a new task_settings event.task_history uses typed sqlite columns, so persisting the budget needs a new max_budget column plus migration wiring in persistence.py.tmp/PROGRESS.md, then implemented across the stack:
relentless_agent.py — new TASK_SETTINGS_HEADER + hook _system_prompt_task_settings() (model, budget, start time) appended in perform_task(); sorcar_agent.py override adds parallel mode; chat_sorcar_agent.py override adds worktree mode, chat/task/parent ids and is-subagent.persistence.py — new max_budget REAL column (DDL, _add_missing_columns migration, _HISTORY_SELECT, _EXTRA_COL_MAP, _row_to_extra_json, _add_task INSERT).json_printer.py — task_settings added to _DISPLAY_EVENT_TYPES; synthesis helpers _task_settings_event_from_session() / with_task_settings_event() so legacy tasks get a synthesized event; server.py (3 reply builders incl. adjacent tasks) and web_server.py (share_tasks) wrap replayed events with it. ChatSorcarAgent.run() broadcasts the persisted {"type":"task_settings","settings":{...}} event after task-id allocation.chat.html — new <div id="task-panel-info">; main.css — hidden when :empty or .drawer-collapsed; main.js — taskPanelInfoHTML/renderTaskPanelInfo/setTaskSettings, a case 'task_settings' in handleOutputEvent with active/replay/background-tab routing, taskSettingsById map, tab save/restore, updateVisibleTask/scrollChatToTask integration (adjacent tasks show their own settings), and share export filling each cloned panel's info block.src/kiss/tests/agents/sorcar/test_task_settings_info.py (10 tests: real e2e system-prompt capture via a local OpenAI-compatible HTTP server, persisted event, legacy-row synthesis, max_budget round-trip + old-DB migration) and src/kiss/agents/vscode/test/taskPanelSettingsInfo.test.js (9 JSDOM e2e tests) plus a V8 coverage gate (taskPanelSettingsInfo.coverage.js, 100% of the taskinfo-coverage marked regions).max_budget key, new leading task_settings event in replays) — updated those tests. Also found and fixed a real feature gap: _get_adjacent_task_by_chat_id didn't return chat_id/extra, so adjacent replays could never synthesize settings.node test/run-all.js, 231 suites) in the background — all passed; verified git status shows the expected 17 modified + 2 new files.gpt-5.6-sol review (via run_agent, budget-capped, told not to invent problems). It confirmed 5 real defects, all then fixed:
case 'setTaskText' to case 'clear' in main.js.ChatSorcarAgent.run now builds one authoritative resolved snapshot (extracted _resolve_model_name, new DEFAULT_MAX_BUDGET = 200.0 constant, resolved work dir) used for the early extra, the event, and the final save:
resolved_model = self._resolve_model_name(kwargs.get("model_name"))
resolved_budget = run_max_budget if run_max_budget is not None else DEFAULT_MAX_BUDGET
resolved_work_dir = str(Path(kwargs.get("work_dir") or ".").resolve())
start_ts_ms = int(time.time() * 1000)_task_has_transcript_events() in persistence.py ignores the task_settings event so early-failed runs still get synthesized prompt/result events.task_settings — bg branch now sets ownerTab.currentTaskId.start_ts_ms shared by the extra payload and the event (_task_settings_payload takes start_ts); _row_to_extra_json falls back to the row's insertion timestamp (matching the sidebar); stale-budget-on-agent-reuse fixed by saving resolved_budget.clear clears, bg-tab task-id adoption).node --check main.js OK; 49 tests in the four key Python suites passed.task-7 id; gate now passes at 136/136 (100%).startTs assertions across all Python/JS tests to find any remaining suites affected by the new startTs fallback.Implementation, review fixes, and targeted test suites are all green (~$70 of $1000 budget used at step 207). Remaining work (per the agent's own plan): finish auditing the startTs-asserting test files, run uv run check --full (lint/type gates), git add the two new test files, update tmp/PROGRESS.md, and call finish. The trajectory ends mid-verification without a finish call.
All three surfaces now show the same run-settings the task-history sidebar shows: model, work dir, worktree mode, parallel mode, budget, start time, chat id, task id, parent id, and is-subagent. Implemented with claude-fable-5; independently reviewed/debugged read-only by gpt-5.6-sol (≤50% budget, instructed not to invent problems) — its 5 confirmed defects were all fixed and regression-tested.
# Task Settings sectionsrc/kiss/agents/sorcar/relentless_agent.py: new _system_prompt_task_settings() hook appends model, budget (new DEFAULT_MAX_BUDGET = 200.0), and start time next to the existing Work dir / PID lines in perform_task().sorcar_agent.py override adds parallel mode; chat_sorcar_agent.py override adds worktree mode, chat/task/parent ids, and is-subagent.ChatSorcarAgent.run() broadcasts one authoritative, resolved task_settings event (resolved model, budget, work dir, one shared start_ts_ms) right after task-id allocation; it is persisted as a display event.media/chat.html: new #task-panel-info div inside the task panel; main.css hides it when empty or when the drawer is collapsed — so it appears exactly when the panel is un-collapsed.media/main.js: case 'task_settings' handler with active-tab / replay / background-tab routing (bg tabs also adopt the task id), per-task taskSettingsById map, tab save/restore, and adjacent-task scrolling shows each task's own settings. Format mirrors renderHistory(): workDir • model • wt/no-wt • parallel/sequential • budget • start time plus chat <id> • task <id> • parent <id>.clear (not on queued follow-ups, which previously wiped them).server.py ×3 reply builders and web_server.py shareChatTasks) wrap replayed events with with_task_settings_event() (in json_printer.py), which synthesizes the event for legacy rows recorded before this feature; shareTaskPanel in main.js fills each exported task panel's info block.max_budget REAL column in task_history with automatic migration for old databases; startTs falls back to the row's insertion timestamp (same fallback as the sidebar); crash recovery ignores the metadata-only task_settings event so early-failed runs still get synthesized prompt/result events.src/kiss/tests/agents/sorcar/test_task_settings_info.py — 13 e2e tests, including a real-HTTP capture of the system prompt (no mocks), persisted-event round-trip, legacy-row synthesis, and old-DB migration.src/kiss/agents/vscode/test/taskPanelSettingsInfo.test.js + .coverage.js — JSDOM e2e tests and a V8 coverage gate at 100% of the feature's marked regions.uv run check --full: All checks passed (fixed one import-sort, 11 mypy typing errors, and one prettier nit introduced during the work).node test/run-all.js silently dies right after suite 201/231 (voiceBrowserTranscribe.test.js's "real TTS" test kills the runner process), so suites 202–231 were never executed by it — identical behavior before this change. I verified those 30 suites individually (all pass; some voice suites take ~80s).
Files: 19 modified + 3 new, all staged with git add (not committed): relentless_agent.py, sorcar_agent.py, chat_sorcar_agent.py, persistence.py, json_printer.py, server.py, web_server.py, chat.html, main.css, main.js, 9 updated test files, and the 3 new test files.
In the task settings for the system prompt, can you also add the user id (like the unix user name), ip address, OS, and Machine info? Use 'claude-fable-5' model for all tasks, including software development. Use 'gpt-5.6-sol' (not codex) for a thorough read-only review and debugging of the other model's work. Thoroughly check whether the other model has missed any code or wiring or introduced any bugs. Use at most 50% of task budget in gpt-5.6-sol for reviewing and debugging, and ask the model to not invent new problems. Use the model names literally without hallucinating new model names.
Task: add user id, IP address, OS, and machine info to the system prompt's # Task Settings section (implement with claude-fable-5, then a read-only gpt-5.6-sol review at ≤50% budget).
Work so far:
SORCAR.md memory and confirmed the worktree at .kiss-worktrees/kiss_wt-1787170961-cefa724b contains the previous task's commit (feat: surface task settings ...)._system_prompt_task_settings() in src/kiss/agents/sorcar/relentless_agent.py (base hook returning label → value pairs), with subclass extensions in sorcar_agent.py (parallel mode) and chat_sorcar_agent.py (worktree mode, ids, subagent info).src/kiss/tests/agents/sorcar/test_task_settings_info.py — it asserts on the raw HTTP body a real run sends to a local OpenAI-compatible server, so I will extend those assertions._local_ip_address() (UDP-connect trick with fallbacks) and host-info fields (getpass.getuser(), platform.uname()) to the base hook; update tests; then dispatch the gpt-5.6-sol review.getpass, platform, socket imports to relentless_agent.py.cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && git status --short | head -30 && git log --oneline -3cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && grep -n "TASK_SETTINGS_HEADER\|_system_prompt_task_settings\|Task Settings" src/kiss/agents/sorcar/relentless_agent.pycd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && grep -n "_system_prompt_task_settings" -A 30 src/kiss/agents/sorcar/sorcar_agent.py | head -50 && echo ==== && grep -n "_system_prompt_task_settings" -A 40 src/kiss/agents/sorcar/chat_sorcar_agent.py | head -60cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && grep -n "Task Settings\|Model name\|Starting time\|Max budget" src/kiss/tests/agents/sorcar/test_task_settings_info.py | head -30 && wc -l src/kiss/tests/agents/sorcar/test_task_settings_info.pyImplementation is done and green; now setting up the gpt-5.6-sol review dispatch.
src/kiss/agents/sorcar/relentless_agent.py: new imports (getpass, platform, socket); new helpers _local_ip_address() (UDP-connect trick with gethostbyname → "unknown" fallbacks) and _host_settings() (User id, IP address, OS system release, Machine info node (machine)); merged **_host_settings() into _system_prompt_task_settings(); updated docstring.{'User id': 'ksen', 'IP address': '192.168.50.96', 'OS': 'Darwin 25.5.0', 'Machine info': 'Koushiks-MacBook-Air-2.local (arm64)'}.test_task_settings_info.py with the 4 new line assertions and added test_host_settings_report_real_host_identity (key order, real-host values, IPv4-or-unknown regex; documents unreachable OSError fallbacks). All 13 tests pass; adjacent test_relentless_agent.py + test_worktree_pwd_consistency.py pass (9 passed).tmp/PROGRESS.md.run_agent(agent="general") failed (not a channel); reading agent_dispatch.py showed run_agent accepts a path to a .py agent script with get_X() getters — now checking how script sessions handle worktrees so the reviewer sees my uncommitted diff.cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && uv run python -c "
from kiss.agents.sorcar.relentless_agent import _host_settings, _local_ip_address
print(_host_settings())
print(_local_ip_address())
"cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && grep -rln "Task Settings\|_task_settings_section\|_system_prompt_task_settings" src/kiss/tests/ src/kiss/agents/vscode/test/ 2>/dev/nullThe helpers work. Now extend the e2e tests:
cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && uv run pytest src/kiss/tests/agents/sorcar/test_task_settings_info.py -x -q 2>&1 | tail -5cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && uv run pytest src/kiss/tests/agents/sorcar/test_task_settings_info.py --collect-only -q 2>&1 | tail -20All 13 tests pass, including the new one. Now check for other tests that might assert on system-prompt content:
cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && grep -rln "IMPORTANT_INSTRUCTIONS\|Work dir:\|Current process PID\|Task Settings" src/kiss/tests/ | grep -v test_task_settings_infocd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && grep -n "IMPORTANT_INSTRUCTIONS\|Work dir:\|Current process PID\|Task Settings" src/kiss/tests/agents/sorcar/test_active_worktree_path_remap.py src/kiss/tests/agents/sorcar/test_bughunt9_screenshot_worktree_remap.py src/kiss/tests/agents/sorcar/test_relentless_agent.py src/kiss/tests/agents/sorcar/test_bughunt8_tools_bash_symlink_guard.py src/kiss/tests/agents/sorcar/test_worktree_pwd_consistency.py src/kiss/tests/agents/sorcar/integration_test_assistant_agent.pycd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && uv run pytest src/kiss/tests/agents/sorcar/test_relentless_agent.py src/kiss/tests/agents/sorcar/test_worktree_pwd_consistency.py -q 2>&1 | tail -3# PROGRESS — add host info (user id, IP, OS, machine) to system-prompt Task Settings
## Task
Add user id (unix user name), IP address, OS, and Machine info to the system
prompt's `# Task Settings` section. Implement with claude-fable-5; then a
read-only gpt-5.6-sol review/debug pass (≤50% of budget, told not to invent
problems).
## Steps done
1. Read SORCAR.md; located the injection point from the previous task:
`_system_prompt_task_settings()` base hook in
`src/kiss/agents/sorcar/relentless_agent.py` (subclasses in
sorcar_agent.py / chat_sorcar_agent.py extend the dict).
2. Implemented in `relentless_agent.py`:
- imports: `getpass`, `platform`, `socket`
- new module helpers:
```python
def _local_ip_address() -> str:
try:
with socket.socket(socket.AF_INET, socket.SOCK_DGRAM) as sock:
sock.connect(("8.8.8.8", 80)) # UDP: no packets sent
return str(sock.getsockname()[0])
except OSError:
try:
return socket.gethostbyname(socket.gethostname())
except OSError:
return "unknown"
def _host_settings() -> dict[str, str]:
try:
user = getpass.getuser()
except OSError:
user = "unknown"
uname = platform.uname()
return {
"User id": user,
"IP address": _local_ip_address(),
"OS": f"{uname.system} {uname.release}",
"Machine info": f"{uname.node} ({uname.machine})",
}
```
- `_system_prompt_task_settings()` now returns
`{Model name, Max budget, Starting time, **_host_settings()}`;
docstring updated. Only the SYSTEM PROMPT changes — the
`task_settings` display event / panel payload is untouched (task
asked for system prompt only).
3. Tests (`src/kiss/tests/agents/sorcar/test_task_settings_info.py`):
- `test_run_sends_task_settings_section_to_model`: asserts the raw HTTP
body contains `- User id: {getpass.getuser()}`, `- IP address: ...`,
`- OS: {uname.system} {uname.release}`,
`- Machine info: {uname.node} ({uname.machine})`.
- `test_base_agents_report_model_budget_and_time`: asserts the 4 new
labels appear in the base section.
- New `test_host_settings_report_real_host_identity`: exact key order,
values match real host, IP matches IPv4 regex or "unknown"; OSError
fallback branches documented as unreachable without mocks.
- All 13 tests in the file pass; test_relentless_agent.py +
test_worktree_pwd_consistency.py pass (9 passed).
## Remaining
- gpt-5.6-sol read-only review (run_agent, capped budget, "do not invent
problems"), fix any confirmed findings.
- `uv run check --full` at the end; git add; finish.
Now dispatch the read-only gpt-5.6-sol review:
cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && grep -rln "__main__" src/kiss/agents/*.py src/kiss/agents/sorcar/*.py 2>/dev/null | head; ls src/kiss/agents/cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && head -60 src/kiss/agents/kiss.pycd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && grep -rn "def run_agent" src/kiss/ | head -5cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && grep -rn "get_work_dir\|get_model\|get_prompt\|get_tools\|get_worktree\|get_max_budget\|get_" src/kiss/server/sorcar.py | grep "getattr\|def \|get_" | head -30The gpt-5.6-sol read-only review (dispatched via a tmp/review_agent.py agent script pinning model=gpt-5.6-sol, no-worktree, no-auto-commit, $30 budget) confirmed 6 defects with reproductions, and verified the wiring is otherwise complete (all four new fields appear exactly once in every agent class; no missed system-prompt builders). I am fixing all 6:
_task_settings_section() now collapses every value to one whitespace-normalized line.UnicodeError from the gethostbyname fallback and 4. slow/loopback fallback → dropped the hostname fallback entirely; _local_ip_address() returns "unknown" on OSError.platform.uname() fields → new _nonempty() helper (strip() or "unknown") applied to user + all uname components.json.loads(body)["messages"][0]["content"] and asserts on the decoded system text.Probed the local OpenAI-compatible test server first to confirm the body shape (messages[0] = system message, str content). Still to do: finish updating test_host_settings_report_real_host_identity (drop the second live IP lookup), add tests for _nonempty and the newline-injection sanitization, re-run tests, uv run check --full, git add, finish.
cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && grep -n "get_\|worktree" src/kiss/agents/sorcar/daemon_client.py | head -40The agent script can pin the model, disable worktree isolation (so the reviewer sees my uncommitted diff), and disable auto-commit. Creating it:
"""Agent script: read-only gpt-5.6-sol reviewer for the host-settings change.
Runs directly in this worktree (no sub-worktree, no auto-commit) so the
reviewer sees the uncommitted diff under review.
"""
WORK_DIR = "/Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b"
def get_model() -> str:
"""Model the review sub-task must use."""
return "gpt-5.6-sol"
def get_work_dir() -> str:
"""Run in the calling task's worktree so the uncommitted diff is visible."""
return WORK_DIR
def get_use_worktree() -> bool:
"""No nested worktree: it would hide the uncommitted changes."""
return False
def get_auto_commit() -> bool:
"""Read-only review: never commit."""
return False
def get_max_budget() -> float:
"""Budget cap for the review (well under 50% of the task budget)."""
return 30.0
cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && grep -n "messages\|def _read_body\|def _tool_call_response" -A 5 src/kiss/tests/core/test_budget_enforcement_e2e.py | head -30cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && uv run python - <<'EOF'
import json, threading
from kiss.tests.core.test_budget_enforcement_e2e import _CHEAP, _read_body, _send_json, _start_server, _tool_call_response
from http.server import BaseHTTPRequestHandler
class H(BaseHTTPRequestHandler):
bodies = []
def do_POST(self):
type(self).bodies.append(_read_body(self))
_send_json(self, _tool_call_response("finish", json.dumps({"success": True, "is_continue": False, "summary_in_html": "<p>d</p>"}), *_CHEAP))
def log_message(self, *a): pass
import tempfile
from kiss.agents.sorcar.chat_sorcar_agent import ChatSorcarAgent
import kiss.agents.sorcar.persistence as th
from pathlib import Path
tmp = tempfile.mkdtemp()
kd = Path(tmp)/".kiss"; kd.mkdir(parents=True)
th._KISS_DIR = kd; th._DB_PATH = kd/"sorcar.db"; th._db_conn = None
srv, url = _start_server(H)
try:
a = ChatSorcarAgent("probe")
a.run(prompt_template="hi", model_name="gpt-4o-mini", work_dir=tmp, max_budget=1.0, max_steps=3, web_tools=False, is_parallel=False, append_basic_tools=False, verbose=False, model_config={"base_url": url, "api_key": "k"})
finally:
srv.shutdown()
d = json.loads(H.bodies[0])
print(list(d.keys()))
m0 = d["messages"][0]
print(m0["role"], type(m0["content"]))
EOFNow apply the fixes to relentless_agent.py:
Now update the tests per the review findings:
cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && grep -n "_local_ip_address\|_nonempty\|^import os\|import os$" src/kiss/tests/agents/sorcar/test_task_settings_info.pycd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && uv run pytest src/kiss/tests/agents/sorcar/test_task_settings_info.py -q 2>&1 | tail -3cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && uv run pytest src/kiss/tests/agents/sorcar/test_task_settings_info.py::TestSystemPromptTaskSettings::test_multiline_host_values_cannot_inject_prompt_lines -q 2>&1 | grep -A 10 "assert\|Error" | head -30The sanitization works — my assertion was checking the substring anywhere instead of at line start. Fix the test assertions:
cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && uv run pytest src/kiss/tests/agents/sorcar/test_task_settings_info.py src/kiss/tests/agents/sorcar/test_relentless_agent.py src/kiss/tests/agents/sorcar/test_worktree_pwd_consistency.py -q 2>&1 | tail -3cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && git diff src/kiss/agents/sorcar/relentless_agent.pyThe diff is correct. Now a short second-round verification pass by gpt-5.6-sol on the fixes:
Round 2 confirmed the production fixes are complete and found 2 test-side gaps. Fixing both:
cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && uv run pytest src/kiss/tests/agents/sorcar/test_task_settings_info.py -q 2>&1 | tail -2 && LOGNAME=' padded user ' uv run pytest src/kiss/tests/agents/sorcar/test_task_settings_info.py::TestSystemPromptTaskSettings -q 2>&1 | tail -2All green, including under the reviewer's padded-LOGNAME reproduction. Final verification — re-read the full test-file diff and run the lint/typecheck gate:
cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && git diff src/kiss/tests/agents/sorcar/test_task_settings_info.py | head -220cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && uv run check --full 2>&1 | tail -15cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787170961-cefa724b && git add src/kiss/agents/sorcar/relentless_agent.py src/kiss/tests/agents/sorcar/test_task_settings_info.py && git status --short | grep -v "^??" # Task Settings now includes User id, IP address, OS, and Machine infoEvery agent's system prompt (RelentlessAgent, SorcarAgent, ChatSorcarAgent, and their subclasses) now ends its # Task Settings section with four host lines, e.g.:
# Task Settings
- Model name: claude-fable-5
- Max budget (USD): $1000.00
- Starting time: 2026-08-19 13:37:48 PDT
- User id: ksen
- IP address: 192.168.50.96
- OS: Darwin 25.5.0
- Machine info: Koushiks-MacBook-Air-2.local (arm64)
- Parallel mode: parallel
- Worktree mode: worktree
- Chat id: … (etc.)claude-fable-5)All changes are in src/kiss/agents/sorcar/relentless_agent.py, in the base hook so every agent inherits them:
_local_ip_address() — UDP socket "connected" to 8.8.8.8:80 (selects the outbound interface without sending packets or doing DNS) and reads its own address; returns "unknown" on OSError (offline host)._nonempty(value) — strip() or "unknown", because platform.uname() reports undetermined fields as ""._host_settings() — User id via getpass.getuser() (with OSError fallback), IP address, OS as uname.system uname.release, Machine info as uname.node (uname.machine); merged into _system_prompt_task_settings() after Model / Budget / Starting time._task_settings_section() now whitespace-collapses every value to a single line, so host/env-derived strings can never inject extra lines or headings into the system prompt.The webview task panel / task_settings event was intentionally left unchanged — the request covers only the system prompt.
gpt-5.6-sol read-only review & debugging (2 rounds, capped at $30 + $15 of the $1000 budget — far under the 50% limit; instructed not to invent problems)Round 1 verified the wiring is complete (all four fields appear exactly once in every agent class, no key collisions, no missed system-prompt builders) and confirmed 6 real defects with reproductions — all fixed:
LOGNAME could inject prompt lines → central single-line value normalization.gethostbyname fallback could raise an uncaught UnicodeError (reproduced with a 64-char hostname) → fallback removed.uname fields rendered blank values → _nonempty() normalization."unknown".Round 2 verified all six fixes are complete and found 2 remaining test-side gaps, both fixed: expected values now apply the same normalization contract (verified under LOGNAME=' padded user '), and IP validation uses ipaddress.ip_address instead of a digit regex that accepted 999.999.999.999.
test_task_settings_info.py: 15/15 pass, including 3 new tests — real-HTTP end-to-end capture of the four lines in the system prompt sent to a local OpenAI-compatible server, both _nonempty branches, and a real prompt-injection attempt via LOGNAME proving no injected line can start a new prompt line. Unreachable fallback branches (no login name, offline host) are documented in the test file per the no-mocks policy instead of being mocked.test_relentless_agent.py + test_worktree_pwd_consistency.py: pass.uv run check --full: All checks passed (ruff, mypy, pyright).Files changed (staged with git add, not committed): src/kiss/agents/sorcar/relentless_agent.py, src/kiss/tests/agents/sorcar/test_task_settings_info.py.